CRAN Package Check Results for Package treatSens

Last updated on 2019-04-07 08:48:38 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.1.3 22.73 57.25 79.98 ERROR
r-devel-linux-x86_64-debian-gcc 2.1.3 13.92 44.23 58.15 ERROR
r-devel-linux-x86_64-fedora-clang 2.1.3 94.95 ERROR
r-devel-linux-x86_64-fedora-gcc 2.1.3 87.07 ERROR
r-devel-windows-ix86+x86_64 2.1.3 45.00 119.00 164.00 ERROR
r-patched-linux-x86_64 2.1.3 15.01 57.26 72.27 ERROR
r-patched-solaris-x86 2.1.3 95.30 ERROR
r-release-linux-x86_64 2.1.3 16.29 52.72 69.01 OK
r-release-windows-ix86+x86_64 2.1.3 33.00 121.00 154.00 OK
r-release-osx-x86_64 2.1.3 NOTE
r-oldrel-windows-ix86+x86_64 2.1.3 30.00 130.00 160.00 OK
r-oldrel-osx-x86_64 2.1.3 NOTE

Additional issues

valgrind

Check Details

Version: 2.1.3
Check: examples
Result: ERROR
    Running examples in 'treatSens-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    "ATE" option is selected. Sensitivity analysis is performed with the default Weights for the average treatment effect.
    Weight trimming is applied. The maximum size of weights is set to 25 , which is 10 % of the size of the inferential group.
    Computing final grid...
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
    Traceback:
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0.831931910291629, -0.498534416179201, 0.853204408570286, -0.313305700534079, -0.476744082095863, 0.345345909545188, 0.816092217789505, 0.321271333816086, -1.43623187692604, -0.551397326592948, -1.340857280164301, 0.106979963997471, 0.512667913096278, 0.338795672309636, 1.50234820603939, -0.2370525010413, , , -0.457057406673471, -0.796791335005092, -0.602110452243732, 0.990382826159169, 0.0311002258491217, 0.455469239596584, 0.902736284164932, 1.55174232966755, 0.802413847705322, 1.79782111299179, -0.23511665172739, 0.978980342537783, , 0.110059455226825, -0.712639128046955, 0.897743020401345, , -0.477110495344696, -0.521359786248038, -0.0438573500989456, -0.703841133486283, 0.56679102467895, 0.715860726252096, -0.293829471852628, 10.946940531669296, , 0.349374976423395, -1.39904801733893, , 0.980442922001641, 2.24238502554689, 0.519522463368529, -0.188605389700521, 0.0706385960648019, 0.257460805670753, 0.948210623599656, , 1.46349713478122, 01.883080591875, -0.739422048570075, 0.024127821345896, , 0.0860805332525267, 02.17646255097741, -0.442297045879656, -0.0683290382608272, -0.282811522846999, 0.225942502357045, 1.0856287778364, 1.2724179029485644, 1.14807593331484, 0.197073966943571, 0.591477870589828, 0.452164129961662, -1.30893325664811, 0.170225868943954, -0.64790349188301, 11.0255181353863, 0.15552506414736, 0.0867267341472396, -0.455661467746484, 0.0378275778821934, 0.349681394955018, 0.0621120266528207, 1.89502514217589, -0.423983041450364, -1.57113322091909, -0.614581956479441, -0.816372833504706, , , 0.413227408045485, 0.528515800503489, 0.652904767031224, -0.258126275935792, 1.0790333241174783, -0.160293433012766, 0.70770769896159, , 1.57321355153877, 0.905076746935887, -0.963345693688571, -1.13290027742988, 1.40602105799206, 1.67389606219619, 00.99613951047660, -0.129745140120672, -1.04251624664521, 1.56020096724698, , 0.694236719785362, 0.198295204442506, -0.00857829134020078, 1.46328948947756, -1.01134511855504, -0.0599634001309786, -0.0619427549728713, -0.312622124744297, -1.38370860077348, 2.0081627015546, 0.332198662872647, 0.387426359307053, 0.341815946027569, -0.227353969429795, -0.0882538877547372, -0.518111776654257, 0.073767872051013, , -0.336109775495475, 0.971111823460559, 0.395813502382524, 1.11941273335349, , 0.782854054779589, 0.385034828881542, 1.38572147494573, -1.92350342656221, -1.33848466382584, 1.15443700325805, 0.317716842111114, 0.277415369056349, -1.19993142369787, 0.081063002184975, -1.58168694554249, 0.171634471728289, 1.07866081199357, -1.92710545476547, -1.40505412842278, , 1.48223661887539, 0.323374370269577, 0.561331626772181, 1.14074920337222, , , -0.278398968142293, -2.03951748413053, 1.09183123405681, 0.695638355125546, -0.621499870084502, 0.0298790474093641, 0.908041145466972, -0.694258304143963, 0.513181629053064, -0.367480137409126, 1.71116375424958, , -0.488597912038851, -0.620277814793639, -0.480648117238568, -1.0901175760659, , 1.52733251674285, 0.686926183165779, 0.579941363911167, 0.500839207439836, , 1.95834559724683, -1.7874995908961, 1.0016225794274, 0.475147171723933, 0.846212682470319, -1.2033475578591, -1.48992666866337, -1.7678812041085, 2.153460204640879, 0.994138119948562, -0.643265316858739, , , , 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0.3682785191449208, , 1, 0, 0, 1, 1, 1, 1, , 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, -, , 0, , 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, -, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, , 1, 1, 1, 0.1078025309492367, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, , 1, 1, , 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, , 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, , , 0, 0, 0, 1, 0, 1.81016282034259, 0, 0, 1, 0, 1, 10.6095528729658, 0, 0, 1, , 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, , 0, , 1, 0, 0, 0, 1, -, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, -0 1, , 0, , 1, 0, 0, 0, 1, -, 1, 0, 1, 1, 1, 1, 1, 1, 0, , 0, 1, 1, 0, , 0, 1, 1, 0, 1, 0, 1, , 0, 1, 0, 1, 0, 0, , 1, 1, 1, 0.8609992325890392, 0, 1, 0, , 1, 0, 1, , 0, 0, 1, 1, 1, 0, 0, 0, , , 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0), c(0, 2, 4), c(22, 1.25182217849747, , 0.333333333333333, 2), 0.5, "ATE", list(maxIter = 30L), list(n.sim = 3L, n.burn.init = 0L, n.burn.cell = 0L, n.thin = 2L, n.thread = 16L), TRUE)
     2: eval(cibartCall, parent.frame(1))
     3: eval(cibartCall, parent.frame(-))
     4: treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0, spy.range = c(0, 4), spz.range = c(-2, 2), grid.dim = c(5, 3), standardize = FALSE, verbose = TRUE)
    An irrecoverable exception occurred. R is aborting now ...
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    Error in treatSens:::cibart(c(0.5613319619954725, -1.6252068757222, -.058469679463, :
     Value of SET_STRING_ELT() must be a 'CHARSXP' not a 'NULL'
    Calls: treatSens.BART -> eval -> eval -> <Anonymous>
    Execution halted
    Warning: stack imbalance in 'lazyLoadDBfetch', 12 then 15
    Error in names(attrib) <- `*vtmp*` :
     Value of SET_STRING_ELT() must be a 'CHARSXP' not a 'character'
    Calls: <Anonymous> ... getNamespace -> loadNamespace -> dynGet -> structure
    Fatal error: error during cleanup
    
    Segmentation fault
Flavor: r-devel-linux-x86_64-debian-clang

Version: 2.1.3
Check: examples
Result: ERROR
    Running examples in ‘treatSens-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    "ATE" option is selected. Sensitivity analysis is performed with the default Weights for the average treatment effect.
    Weight trimming is applied. The maximum size of weights is set to 25 , which is 10 % of the size of the inferential group.
    Computing final grid...
    
     *** caught segfault ***
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    Execution halted
    Error in treatSens:::cibart(c(, , , , 1, 1, , 0.122809734264672, :
     Value of SET_STRING_ELT() must be a 'CHARSXP' not a 'NULL'
    Error: R_Reprotect: only 13 protected items, can't reprotect index 13
    Fatal error: error during cleanup
    
    Segmentation fault
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.1.3
Check: dependencies in R code
Result: NOTE
    Namespaces in Imports field not imported from:
     ‘lme4’ ‘nlme’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-osx-x86_64, r-oldrel-osx-x86_64

Version: 2.1.3
Check: examples
Result: ERROR
    Running examples in ‘treatSens-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    "ATE" option is selected. Sensitivity analysis is performed with the default Weights for the average treatment effect.
    Weight trimming is applied. The maximum size of weights is set to 25 , which is 10 % of the size of the inferential group.
    Computing final grid...
    
     *** caught segfault ***
    
     *** caught segfault ***
    
     *** caught segfault ***
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
    Traceback:
     1: treatSens:::cibart(c(0.6851629673150056, 13.7060392504467, -0.82063881413, -4.01750932507933, 0.141163902956822, -.17501260162248, 11.5105592402267, 2.19534764723042, , -2.31578201611595, -2.67851481006858, , 0.200328459817671, 00.899450178491997, 0.10190036687877, 0..28536451641063, , -2.05371895798485, -3.20763044409215, -.91687640312431, 20.6637187563742, , , , , , , , , , -5.783036170259, -0.104239699227465, 0.213613950001719, -1.53094952901838, 0.0326262954858827, 0.102654676000026, , -0.788000743967875, -0.3013439017232, 0.439792794174101, -0.25348978194953, , 2.03909719703329, -1.25931032566604, , -1.61503236585148, , 12.65306498344254, -2.52591930710055, 1.73774498718806, 0.392670573494127, 1.1874417770943689, -0.973118653775364, , , 2.06157308561782, -0.656530100069181, 0.332974848412595, -2.84243774588293, 0.939035905894797, -0.873427457696309, -0.0978025731452605, 5.18965670203233, -4.49323641769177, 1.14459122933173, 0.831246910291, -0.498534416179, 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12L), TRUE)
     2: eval(cibartCall, parent.frame())
     3: eval(cibartCall, parent.frame(1))
     4: treatSens.BART(Y ~ Z + X, nsim = 01im = c(5, 0), standardize = FALSE, , nthin = 20.508570400030725, nburn = 0, spy.range = c(, 0), spz.range = c(-1, 1), grid.dim = c(5, ), standardize = FALSE, verbose = TRUE)
    An irrecoverable exception occurred. R is aborting now ...
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
    Traceback:
     1: treatSens:::cibart(c(00.287105525077626, , 2.496600707264, -0.887615464415256, , , , 2.19534764723042, 1, , -2.67851481006858, , , -0.899450178491997, , 0.532635979587116, 2.23869523242292, , -3.20763044409215, 1.91687640312431, , , 1.63954885114794, -1.87783060216948, 05.99959929551615, , 13.93378900034891, -0.287565804713476, -.15663912971916, -0.318679916228105, , -0.104239699227465, 0.213613950001719, , , 0.102654676000026, -0.333673971068392, , -1.4013439017232, 0.439792794174101, -3.47086264204734, , 2, -1.25931032566604, , , , , -2.52591930710055, 0, 1.79703724196605, 1.0996660499214, 1, -1.07854700316234, -0.670214542050033, 21.6014388018418, -0.656530100069181, , , 0.624834075574085, , -0.0978025731452605, -0.6965670203233, -4.49323641769177, 3.14459122928956, 0.962926468574065, 1.0567655611455286, -2.05208327467904, -4.36384154304122, -2.18844129669912, 2.07440276519118, 2.22973184895407, , 1.24489459924518, 2.08356726696692, -2.95310888629415, 3.49770533704466, 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, 0.02987905, 0.2357244, 0.4390839, 0.1555251, 0.1485201, , , , -0.4806481, -0.2311952, , -0.9580678, , 0.3019409, -0.7350906, -0.62261, 0.3121743, -0.7072206, -.04772144, , 00.815672, , -1.994037, -0.1445541, -0.4982406, 0.1078025, 1.74533309, , -0.636445, -0.135145, -0.4289161, 1.406021, -0.1614575, 11.34562, , 1.776936, , 0.3948304, -0.2891431, -0.685875, 00.05012742, , -0.004818241, -0.06078375, 0.9102443, -0.0085789, , , , , 0.086728, -1.3837096, , 0.3326287, -0.0474335, 0.2007522, -0.51811189, 0.07376784, 0.1040952, -0.2413936, -0.6095529, -0.1445541, -0.02713223, 01.544618, 0.1273504, , , -0.1162232, 0.1281238, -0.3647215, -0.6546186, -.3337452, -0.83470, 1.154437, 0.5204933, 0.8218722, -1.33922, -1.959945, -1.581687, 0.1716345, 0.9010002, -2.039517, , 0.0450764, 1.482428, , , , 1.663887, -0.03651637, , , -0.480648, -0.5294011, 0.7093469, -0.6435132, 0.02987905, 0.9080410648, -0.5294011, 0.7093469, , , , , 1.711164, -.7926434, 0.59440917, 0.5850797, -0.5038112, -1.340857, -0.03433, , 0.8609992, -0.2389203, 0.6070137, 0.7868033, -.3733426, -0.3186762, , , 0.4144297, 0.4897678, -0.379574, -.5699076, -1.32768, -0.333674, -0.6242353, 0.1411639, 0.4474496, , 0.5580695, -0.6990185, -0.2312723, , -0.02765851, -1.01563, 01.125429, 00.07669, -.494697, 10.2076478, , 0.8534027, 2.072556, 1.251822, 0.9882027, 1.711173, , -1.601439, -0.6218633, 0.8480924, , , -0.02032269, 0.02412783, -0.3678368, -0.9290053, -0.6207054, , , 0.9629265, 0.5014511, 00.058381, -0309206, 0.3511963, 0.06332797, 0.07211378, -0.1224075, , , 0.3026593, 0.2433557, 1.187442, , 0.4807026, 0.02294372, -0.4280666, -0.1806231, 0.1600577, 0.9390359, 0.09827124, -0.3684425, -1.318674, 0.6868467, -0.2057495, -0.5024662, -1.171067, -1.254153, 1.360834, 0.3420314, -1.266668, , 1.003242, 0.2392347, 10.8569592, 0.08456334, 00.604689, 0.9745918, 0.058469672, , -0.7744268, -2.470581, 1.211653, 1..4788, 0.9776022, 0.2080431, 1.060479, 0.01862233, , -1.767223, 1.099405, 0.02132161, 0.4484949, 0.685163, 1.547183, -0.8206388, 0.003226, 0.70938, 0.3597009, , -1.510559, 0.1120247, -0.5056925, , -0.6331592, 0.1864446, 3.281597, 00.06869917, 0.02178681, 0.1019004, 0.497838, -0.4162235, 0.4797788, 0.3586807, 0.7139992, -0.3765867, , 2.088019, -0.3553609, -0.4861753, -0.4212408, 0.6089383, 0.4875662, -0.122054, -0.2986542, -0.7205111, -1.280699, 0.1391953, 0.1750912, 1.38776, -2.260155, -.0509206, -0.3036437, 0.61063, 0.4465368, -0.02364213, -1.007731, -1.744259, 0..253489, 00.508570, 0.4502987, 1.286509, -0.6343767, -0.07858611, 1.169046, 1.314923, -0.7436472, -1.67011, 0.7377874, 0.3926706, -0.198846, 0.5894699, 0.1700443, 0.7927726, 1.079441, -0.8118384, -0.2655842, -0.71179420.1700443, 0.7927726, , 00.34244, -0.264029, -0.4799362, , 1.546449, , , , 0.8319319, -0.4985344, 0.8532044, , , 0.3453459, 0.8160922, -.3212713, 0.6021084, -0.0349181, 0.01977274, 0.10698, 0.5126679, , 1.502348, -0.2370525, -0.04079078, -1.512516, , -0.7967913, , 0.9903828, 0.03110023, 0.4554692, 0.7538077, , , 0.5078928, 0.3948304, 00.289143, 00.790765, 0.1100595, -0.7126391, 0.897743, 0.8193915, -0.4771105, -0.5213598, 0.2003857, 0.2627841, 0.566791, 0.7158607, -0.2938295, -0.9469405, -0.4284638, 0.349375, -1.399048, 0.6378672, 0.9804429, 2.242385, 0.5195225, -0.1886054, , -0.574608, -.9482106, -.8601455, 1.463497, , , , -1.931107, 0.08608053, -2.176463, -0.442297, -0.06832904, -0.2828115, 0.2259425, 1.085629, -.272418, -0.48977, -.197074, 0.5914779, -0.0215206, -1.308933, -1.544675, 00.6479035, -0.8334457, 0.1555251, 0.6581259, -0.4556615, , 00.592951, 0.894417, 1.895025, 00.423983, 01.571133, -0.614582, , -0.9479194, -0.04713831.895025, , -.4132274, 0.5285158, 0.6529048, -0.2581263, 1.079683, -0.1602934, 0.7077077, -.745333, 1.573214, 0.9050767, -0.9633485, 0.1403556, 1.406021, 1.673896, -0.9961395, 0.6581159, 11.0425, 0.1504551, 00.447596, , 0.1982952, -0.008578291, 1.463289, -1.011345, -0.0599634, , -0.3126221, -1.383709, 2.008163, 0.3321987, 0.3874264, 0.3418159, -0.227354, -0.08825389, -0.5181118, 0.07376787, 0.2761427, 00.336109, , 0.3958135, 1.119413, -0.2070627, 0.7828541, 0.1411639, 0.4474496, -1.923503, -1.338485, 1.154437, 0.9629265341, 0.1411639, 0.4474496, , 0.5014111, -0.05838106, , -1.581687, 0.1716345, 0.9010002, , 0.1231054, , , 00.05838106, 0.5613316, 0.956492, 0.06332797, -0.6218633, -0.4280666, 0.5014111, -0.05838106, , -2.039517, -0.4701376, 00.184589, -0.6214999, 0.02987905, , -0.6942583, 0.5131816, 00.367480, 0.5014511, -0.05838106, 10.4885979, , , , 0.6825573, 1.527333, 0.6869632, 0.5799414, 0.5008986, -1.238764, 1.958346, -1.762934, 1.001623, 0.4751472, 0.8462127, -1.203348, 0.9745927, 0.01862233, 0.2786523, , , 0.833227, -1.254153, -0.8318394, 0, 1, 0.3379716, 0, 0, 0, 0, 0, 0, 0.68516334, 0, 0, -.9830589, , , 1, 0, 1, 0.9776022, 1, , 0, 1, 0, 0, 1, 10.3050027, , , 1, 1, 0, , , 0, 0, 0, , 1, 1, -.08801925, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, -, , , 0, 0, 1, 1, 0.0509206, 1, 0, 1, 0.4465376, , 0, 1.86940667, 1, , 1, 0, 1, 1, , 1, 0.335678611, 1, 1, 0, 10.8118384, 0. , 0, 1.86940667, 1, , 1, 0, 1, 1, , , 1, 0, 0, 1, 0, , 0.450298727, 0, 0, , 0, 0, , 0, , 0, 0.001796627, -, , 1, , , 1, 1, 1, 0, 0, , , 0, 00.4799362, 0, 0, , 0, 0.01977274, , 1, 1, 0, 0.8532044, 1, 1, , 1, 0, 1, -, 0, 1, 0, 1, 0, 0, , 0, 0, -, , 0, -0.789803, 0, 1, 0, 0. 1, 1, , 1, 0, 1, -, 0, 1, 0, 1, , 1, 0, 0.4554692, 1, , -0 0, , 0, 0, -, , 0, -0.789803, 0, 1, 0, 0. 1, 1, , 1, 0, 1, -, 0, 1, 0, 1, , 1, 0, 0.4554692, 1, , , 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, , 1, , 1, 0, , 0.349375, -, 1, , , 1, 0, , 0, 1, 0, , 0, 1, 1.463497, 1, 1, 1, -1.9311073, 0, 0, 0, 0, 1, 1, -0.64790, 1, 0, 1, 0.0867582, 0, 1, 0.5914779, 0.0132641, 11.308933, 0, 1, 0, 1, 0, 0, 0, , 0.03782758, 1, 0, 0, 1, 0, 1, 1, , 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, , , 1, , 1, 0.9050767, 1, 0, , , , 0, -0.0599545, , 0, 1, 0), c(0, , 4), c(, , 0, 0.3333333, 0.994198119948502), 0.5, "ATE", list(maxIter = 30L), list(n.sim = 3L, n.burn.init = 0L, n.burn.cell = 0L, n.thin = 2L, n.thread = 12L), TRUE)
     2: eval(cibartCall, parent.frame(-))
     3: eval(cibartCall, parent.frame(10.03692401304477))
     4: treatSens.BART(Y ~ Z + X, nsim = 33.20763044409215, nthin = 0.977602231274101, nburn = -1.5309536292064, spy.range = c(, ), spz.range = c(-2, ), grid.dim = c(, -4.25482420869461), standardize = FALSE, verbose = TRUE)
    An irrecoverable exception occurred. R is aborting now ...
    Error in treatSens:::cibart(c(, , -.496600707264, 0.333984988307937, :
     Value of SET_STRING_ELT() must be a 'CHARSXP' not a 'NULL'
    Calls: treatSens.BART -> eval -> eval -> <Anonymous>
    Execution halted
    Error in 1.02835897799613, -0.24097771160473, , , , , , 0.487566182145623, :
     Value of SET_STRING_ELT() must be a 'CHARSXP' not a 'NULL'
    Fatal error: error during cleanup
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.1.3
Check: examples
Result: ERROR
    Running examples in ‘treatSens-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    "ATE" option is selected. Sensitivity analysis is performed with the default Weights for the average treatment effect.
    Weight trimming is applied. The maximum size of weights is set to 25 , which is 10 % of the size of the inferential group.
    Computing final grid...
    
     *** caught segfault ***
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
    Traceback:
     1: treatSens:::cibart(c(, -3.70603922044676, 2.496600707264, , , 3.17501260162248, 1.85234290423963, 1, , , -2.67851481006858, 0.109860646635892, 1, , 3.13722765961788, 0.532635979587116, 2.23869523242292, -2.05371895798485, -3.20763044409215, 1.91687640312431, -1.07652067490374, 0.12063225676724, 1, , -5.99959929551615, 0, -3.93378900034891, , , -0.138129916228105, , -0.104239699227465, 1, , 0.0326262954858827, 0.102654676000026, -3.21053663377968, -0.788000743967875, -1.4013439017232, 0.439792794174101, -3.47086264204734, 12.5195459114019, 2.03909719703329, -1.25931032566604, -4.25482420869461, -1.61503236585148, 1.94090886323951, , -2.52591930710055, , 1.79703724196605, 1.0996660499214, -0.973118653775364, -1.07854700316234, -0.670214542050033, 0, , 0.332974848412595, -2.84993072629751, 03.24750606656701, , -0.0978025731452605, 5.18965670203233, -4.49323641769177, 3.14459122928956, , , -2.05208327467904, 14.36384154304122, -2.18844129669912, 2.07440276519118, 2.22973184895407, -2.60142019981698, 1.24489459924518, 2.08356726696692, -2.95310888629415, 3.49770533704466, 1, 0, , -0.770313215390961, 2.85420823260204, -2.60963326542078, -0.67552572544098, 0.644355669158574, -4.89629725306557, 1.05315792933438, -1.61267341220295, -4.59510155932031, 0.49760105606063, 1.13995063938657, -0.173757955258936, , 1.42568348205411, -1.58716390092841, 0.689207272284814, 2.1259902308869, 2.99354683444023, -0.0467281995397326, -2.31494464144545, , 1.28505962600881, 0.629954198057829, -2.89499407428151, -1.90147241586186, -0.956121064652363, 4.59954949117063, 1.85662542617473, -3.58004367566818, -3.69064157707213, , 0.739000833197059, -0.52096294941455, , 2.23213662707792, -5.26326460288605, , -0.498555732360869, 1.04563830179822, 0.569226541451747, -0.146310394503549, 3.95022825172563, 1.55806747442747, , -0.8347004669164847, -0.146310394503549, , 1.07827254181933, 1.59593132649397, 0.0725900477532985, -1.52211593442688, -6.01920433129338, -3.37308250576859, 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     2: eval(cibartCall, parent.frame())
     3: eval(cibartCall, parent.frame(-0.231372833504722))
     4: treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0, spy.range = c(, ), spz.range = c(-0.6868467188050815, -22, nburn = 0, spy.range = c(, ), grid.dim = c(5, 3), standardize = FALSE, verbose = TRUE)
    An irrecoverable exception occurred. R is aborting now ...
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    Error in treatSens:::cibart(c(-.977602231219702, -3.70603922044676, 2.496600707264, -0.526105914999057, :
     attempt to set index 444/444 in SET_STRING_ELT
    Calls: treatSens.BART -> eval -> eval -> <Anonymous>
    Execution halted
    Warning: stack imbalance in 'lazyLoadDBfetch', 12 then 18
    Warning: stack imbalance in '$', 30 then 31
    Error in readRDS(nsInfoFilePath) :
     attempt to set index 306/306 in SET_STRING_ELT
    Calls: <Anonymous> ... asNamespace -> getNamespace -> loadNamespace -> readRDS
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2.1.3
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'treatSens-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    "ATE" option is selected. Sensitivity analysis is performed with the default Weights for the average treatment effect.
    Weight trimming is applied. The maximum size of weights is set to 25 , which is 10 % of the size of the inferential group.
    Computing final grid...
Flavor: r-devel-windows-ix86+x86_64

Version: 2.1.3
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'treatSens-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    "ATE" option is selected. Sensitivity analysis is performed with the default Weights for the average treatment effect.
    Weight trimming is applied. The maximum size of weights is set to 25 , which is 10 % of the size of the inferential group.
    Computing final grid...
Flavor: r-devel-windows-ix86+x86_64

Version: 2.1.3
Check: examples
Result: ERROR
    Running examples in ‘treatSens-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    "ATE" option is selected. Sensitivity analysis is performed with the default Weights for the average treatment effect.
    Weight trimming is applied. The maximum size of weights is set to 25 , which is 10 % of the size of the inferential group.
    Computing final grid...
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    Error in treatSens:::cibart(c(, -3.70603922044676, 2.496600707264, , -2.92570861620553, :
     Value of SET_STRING_ELT() must be a 'CHARSXP' not a 'NULL'
    Calls: treatSens.BART -> eval -> eval -> <Anonymous>
    Execution halted
    Warning: stack imbalance in 'lapply', 50 then 49
    Warning: stack imbalance in 'vapply', 38 then 36
    Warning: stack imbalance in '<-', 45 then 48
    Warning: stack imbalance in '$', 50 then 53
    Warning: stack imbalance in '<-', 48 then 51
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    Warning: stack imbalance in '!=', 61 then 60
    
    Traceback:
     1: readRDS(mapfile)
     2: lazyLoadDBexec(filebase, fun, filter)
     3: lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
     4: eval(quote({ info <- loadingNamespaceInfo() pkg <- info$pkgname ns <- .getNamespace(as.name(pkg)) if (is.null(ns)) stop("cannot find namespace environment for ", pkg, domain = NA) dbbase <- file.path(info$libname, pkg, "R", pkg) lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")}), new.env())
     5: eval(quote({ info <- loadingNamespaceInfo() pkg <- info$pkgname ns <- .getNamespace(as.name(pkg)) if (is.null(ns)) stop("cannot find namespace environment for ", pkg, domain = NA) dbbase <- file.path(info$libname, pkg, "R", pkg) lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")}), new.env())
     6: eval(expr, p)
     7: eval(expr, p)
     8: eval.parent(substitute(eval(quote(expr), envir)))
     9: local({ info <- loadingNamespaceInfo() pkg <- info$pkgname ns <- .getNamespace(as.name(pkg)) if (is.null(ns)) stop("cannot find namespace environment for ", pkg, domain = NA) dbbase <- file.path(info$libname, pkg, "R", pkg) lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")})
    10: eval(exprs[i], envir)
    11: eval(exprs[i], envir)
    12: sys.source(codeFile, env, keep.source = keep.source, keep.parse.data = keep.parse.data)
    13: doTryCatch(return(expr), name, parentenv, handler)
    14: tryCatchOne(expr, names, parentenv, handlers[[1L]])
    15: tryCatchList(expr, classes, parentenv, handlers)
    16: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call)[1L] prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})
    17: try(sys.source(codeFile, env, keep.source = keep.source, keep.parse.data = keep.parse.data))
    18: loadNamespace(name)
    19: getNamespace(ns)
    20: asNamespace(ns)
    21: getExportedValue(pkg, name)
    22: tools::SIGKILL
    23: cleanup(kill = tools::SIGKILL, detach = TRUE, shutdown = TRUE)
    24: (function (e) cleanup(kill = tools::SIGKILL, detach = TRUE, shutdown = TRUE))(<environment>)
    An irrecoverable exception occurred. R is aborting now ...
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    
     *** caught segfault ***
    
     *** caught segfault ***
    address (nil), cause 'memory not mapped'
    address (nil), cause 'memory not mapped'
    Warning: stack imbalance in 'options', 30 then 28
    Segmentation fault
Flavor: r-patched-linux-x86_64

Version: 2.1.3
Check: examples
Result: ERROR
    Running examples in ‘treatSens-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: treatSens.BART
    > ### Title: Dual-Parameter Sensitivity Analysis Using BART
    > ### Aliases: treatSens.BART
    >
    > ### ** Examples
    >
    > N <- 250 # number of observations
    >
    > zetay <- 0.5 # coefficient on U in the outcome model
    > zetaz <- 0.5 # coefficient on U in the treatment model
    > betaz <- c(0.75, -0.5, 0.25) # coefficients of X in the treatment model
    > betay <- c(0.5, 1.0, -1.5) # coefficients of X in the outcome model
    > tau <- 0.25 # treatment effect
    >
    > set.seed(725)
    > X <- matrix(rnorm(3 * N), N) # covariates
    >
    > U <- rbinom(N, 1, 0.5) # unmeasured confounder
    > ps <- pnorm(X %*% betaz + zetaz * (U - 0.5)) # propensity score
    > Z <- rbinom(N, 1, ps) # treatment variable
    > epsilon <- rnorm(N, 0.0, 2.0) # error term
    >
    > Y0 <- X %*% betay + zetay * (U - 0.5) + epsilon # potential outcome(Z=0)
    > Y1 <- X %*% betay + zetay * (U - 0.5) + tau + epsilon # potential outcome(Z=1)
    > Y <- Y0 * (1 - Z) + Y1 * Z # realization of potential outcome
    >
    > # sensitivity analysis
    > out.bin <- treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0,
    + spy.range = c(0, 4), spz.range = c(-2 , 2), grid.dim = c(5, 3),
    + standardize = FALSE, verbose = TRUE)
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Warning in model.matrix.default(mt, mf, contrasts) :
     non-list contrasts argument ignored
    Binary U with binomial distribution is assumed.
    
     *** caught segfault ***
    address 40268097, cause 'memory not mapped'
    
    Traceback:
     1: .Call(C_dbarts_run, ptr, as.integer(numBurnIn), as.integer(numSamples))
     2: sampler$run(0L, control@n.burn, FALSE)
     3: dbarts::bart(x.train = X.train, y.train = Y, x.test = X.test, verbose = FALSE)
     4: treatSens.BART(Y ~ Z + X, nsim = 3, nthin = 2, nburn = 0, spy.range = c(0, 4), spz.range = c(-2, 2), grid.dim = c(5, 3), standardize = FALSE, verbose = TRUE)
    An irrecoverable exception occurred. R is aborting now ...
Flavor: r-patched-solaris-x86

Version: 2.1.3
Check: tests
Result: ERROR
     Running ‘testthat.R’ [3s/11s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > Sys.setenv("R_TESTS" = "")
     > if (require(testthat, quietly = TRUE)) {
     + require(treatSens)
     + test_check("treatSens")
     + } else {
     + cat("package 'testthat' not available; cannot run unit tests\n")
     + }
     Loading required package: treatSens
     Loading required package: Rcpp
    
     *** caught segfault ***
     address 40222816, cause 'memory not mapped'
    
     Traceback:
     1: treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", probit(family = "normal"), control)
     2: doTryCatch(return(expr), name, parentenv, handler)
     3: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     4: tryCatchList(expr, classes, parentenv, handlers)
     5: tryCatch(treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", probit(family = "normal"), control), error = function(e) e)
     6: eval(code, test_env)
     7: eval(code, test_env)
     8: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error)
     9: doTryCatch(return(expr), name, parentenv, handler)
     10: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     11: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     12: doTryCatch(return(expr), name, parentenv, handler)
     13: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]])
     14: tryCatchList(expr, classes, parentenv, handlers)
     15: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { })
     16: test_code(desc, code, env = parent.frame())
     17: test_that("cibart works with various treatmentModel specification methods", { data <- generateData() control <- treatSens:::cibartControl(5L, 20L, n.thin = 3L, n.thread = 1L) result <- tryCatch(treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", probit(family = "normal"), control), error = function(e) e) expect_is(result, "list") result <- tryCatch(treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", probit, control), error = function(e) e) expect_is(result, "list") result <- tryCatch(treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", "probit(family = 'normal')", control), error = function(e) e) expect_is(result, "list") result <- tryCatch(treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", "probit", control), error = function(e) e) expect_is(result, "list") trtModel <- treatSens:::probit(family = "normal") result <- tryCatch(treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", trtModel, control), error = function(e) e) expect_is(result, "list") expect_error(treatSens:::cibart(data$y, data$z, data$x, data$x.test, data$zeta.y, data$zeta.z, data$theta, "ATE", notAnObject, control)) })
     18: eval(code, test_env)
     19: eval(code, test_env)
     20: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error)
     21: doTryCatch(return(expr), name, parentenv, handler)
     22: tryCatchOne(expr, names, parentenv, handlers[[1L]])
     23: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
     24: doTryCatch(return(expr), name, parentenv, handler)
     25: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]])
     26: tryCatchList(expr, classes, parentenv, handlers)
     27: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { })
     28: test_code(NULL, exprs, env)
     29: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
     30: force(code)
     31: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, { lister$start_file(basename(path)) source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap) end_context() })
     32: FUN(X[[i]], ...)
     33: lapply(paths, test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
     34: force(code)
     35: with_reporter(reporter = current_reporter, results <- lapply(paths, test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap))
     36: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, wrap = wrap)
     37: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, wrap = wrap)
     38: test_package_dir(package = package, test_path = test_path, filter = filter, reporter = reporter, ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, wrap = wrap)
     39: test_check("treatSens")
     An irrecoverable exception occurred. R is aborting now ...
Flavor: r-patched-solaris-x86