CRAN Package Check Results for Package bayesDP

Last updated on 2020-01-24 08:58:59 CET.

Check Details

Version: 1.3.2
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘Rcpp’
     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: 1.3.2
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'bayesDP-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: bdplm
    > ### Title: Bayesian Discount Prior: Two-Arm Linear Regression
    > ### Aliases: bdplm bdplm,ANY-method
    >
    > ### ** Examples
    >
    > # Set sample sizes
    > n_t <- 30 # Current treatment sample size
    > n_c <- 30 # Current control sample size
    > n_t0 <- 80 # Historical treatment sample size
    > n_c0 <- 80 # Historical control sample size
    >
    > # Treatment group vectors for current and historical data
    > treatment <- c(rep(1,n_t), rep(0,n_c))
    > treatment0 <- c(rep(1,n_t0), rep(0,n_c0))
    >
    > # Simulate a covariate effect for current and historical data
    > x <- rnorm(n_t+n_c, 1, 5)
    > x0 <- rnorm(n_t0+n_c0, 1, 5)
    >
    > # Simulate outcome:
    > # - Intercept of 10 for current and historical data
    > # - Treatment effect of 31 for current data
    > # - Treatment effect of 30 for historical data
    > # - Covariate effect of 3 for current and historical data
    > Y <- 10 + 31*treatment + x*3 + rnorm(n_t+n_c,0,5)
    > Y0 <- 10 + 30*treatment0 + x0*3 + rnorm(n_t0+n_c0,0,5)
    >
    > # Place data into separate treatment and control data frames and
    > # assign historical = 0 (current) or historical = 1 (historical)
    > df_ <- data.frame(Y=Y, treatment=treatment, x=x)
    > df0 <- data.frame(Y=Y0, treatment=treatment0, x=x0)
    >
    > # Fit model using default settings
    > fit <- bdplm(formula=Y ~ treatment+x, data=df_, data0=df0,
    + method="fixed")
    Error in sigma2marginal(n = number_mcmc_sigmagrid, grid = grid_sigma2, :
     function 'enterRNGScope' not provided by package 'Rcpp'
    Calls: bdplm -> bdplm -> sigma2marginal
    Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-devel-windows-ix86+x86_64-gcc8, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 1.3.2
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'bayesDP-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: bdplm
    > ### Title: Bayesian Discount Prior: Two-Arm Linear Regression
    > ### Aliases: bdplm bdplm,ANY-method
    >
    > ### ** Examples
    >
    > # Set sample sizes
    > n_t <- 30 # Current treatment sample size
    > n_c <- 30 # Current control sample size
    > n_t0 <- 80 # Historical treatment sample size
    > n_c0 <- 80 # Historical control sample size
    >
    > # Treatment group vectors for current and historical data
    > treatment <- c(rep(1,n_t), rep(0,n_c))
    > treatment0 <- c(rep(1,n_t0), rep(0,n_c0))
    >
    > # Simulate a covariate effect for current and historical data
    > x <- rnorm(n_t+n_c, 1, 5)
    > x0 <- rnorm(n_t0+n_c0, 1, 5)
    >
    > # Simulate outcome:
    > # - Intercept of 10 for current and historical data
    > # - Treatment effect of 31 for current data
    > # - Treatment effect of 30 for historical data
    > # - Covariate effect of 3 for current and historical data
    > Y <- 10 + 31*treatment + x*3 + rnorm(n_t+n_c,0,5)
    > Y0 <- 10 + 30*treatment0 + x0*3 + rnorm(n_t0+n_c0,0,5)
    >
    > # Place data into separate treatment and control data frames and
    > # assign historical = 0 (current) or historical = 1 (historical)
    > df_ <- data.frame(Y=Y, treatment=treatment, x=x)
    > df0 <- data.frame(Y=Y0, treatment=treatment0, x=x0)
    >
    > # Fit model using default settings
    > fit <- bdplm(formula=Y ~ treatment+x, data=df_, data0=df0,
    + method="fixed")
    Error in sigma2marginal(n = number_mcmc_sigmagrid, grid = grid_sigma2, :
     function 'enterRNGScope' not provided by package 'Rcpp'
    Calls: bdplm -> bdplm -> sigma2marginal
    Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-devel-windows-ix86+x86_64-gcc8, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 1.3.2
Check: examples
Result: ERROR
    Running examples in ‘bayesDP-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: bdplm
    > ### Title: Bayesian Discount Prior: Two-Arm Linear Regression
    > ### Aliases: bdplm bdplm,ANY-method
    >
    > ### ** Examples
    >
    > # Set sample sizes
    > n_t <- 30 # Current treatment sample size
    > n_c <- 30 # Current control sample size
    > n_t0 <- 80 # Historical treatment sample size
    > n_c0 <- 80 # Historical control sample size
    >
    > # Treatment group vectors for current and historical data
    > treatment <- c(rep(1,n_t), rep(0,n_c))
    > treatment0 <- c(rep(1,n_t0), rep(0,n_c0))
    >
    > # Simulate a covariate effect for current and historical data
    > x <- rnorm(n_t+n_c, 1, 5)
    > x0 <- rnorm(n_t0+n_c0, 1, 5)
    >
    > # Simulate outcome:
    > # - Intercept of 10 for current and historical data
    > # - Treatment effect of 31 for current data
    > # - Treatment effect of 30 for historical data
    > # - Covariate effect of 3 for current and historical data
    > Y <- 10 + 31*treatment + x*3 + rnorm(n_t+n_c,0,5)
    > Y0 <- 10 + 30*treatment0 + x0*3 + rnorm(n_t0+n_c0,0,5)
    >
    > # Place data into separate treatment and control data frames and
    > # assign historical = 0 (current) or historical = 1 (historical)
    > df_ <- data.frame(Y=Y, treatment=treatment, x=x)
    > df0 <- data.frame(Y=Y0, treatment=treatment0, x=x0)
    >
    > # Fit model using default settings
    > fit <- bdplm(formula=Y ~ treatment+x, data=df_, data0=df0,
    + method="fixed")
    Error in sigma2marginal(n = number_mcmc_sigmagrid, grid = grid_sigma2, :
     function 'enterRNGScope' not provided by package 'Rcpp'
    Calls: bdplm -> bdplm -> sigma2marginal
    Execution halted
Flavor: r-patched-solaris-x86

Version: 1.3.2
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘bdpbinomial-vignette.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    --- finished re-building ‘bdpbinomial-vignette.Rmd’
    
    --- re-building ‘bdplm-vignette.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    Quitting from lines 219-255 (bdplm-vignette.Rmd)
    Error: processing vignette 'bdplm-vignette.Rmd' failed with diagnostics:
    function 'enterRNGScope' not provided by package 'Rcpp'
    --- failed re-building ‘bdplm-vignette.Rmd’
    
    --- re-building ‘bdpnormal-vignette.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    --- finished re-building ‘bdpnormal-vignette.Rmd’
    
    --- re-building ‘bdpsurvival-vignette.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    Quitting from lines 267-274 (bdpsurvival-vignette.Rmd)
    Error: processing vignette 'bdpsurvival-vignette.Rmd' failed with diagnostics:
    function 'enterRNGScope' not provided by package 'Rcpp'
    --- failed re-building ‘bdpsurvival-vignette.Rmd’
    
    SUMMARY: processing the following files failed:
     ‘bdplm-vignette.Rmd’ ‘bdpsurvival-vignette.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-patched-solaris-x86

Version: 1.3.2
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     Warning: S3 methods '[.fun_list', '[.grouped_df', 'all.equal.tbl_df', 'anti_join.data.frame', 'anti_join.tbl_df', 'arrange.data.frame', 'arrange.default', 'arrange.grouped_df', 'arrange.tbl_df', 'arrange_.data.frame', 'arrange_.tbl_df', 'as.data.frame.grouped_df', 'as.data.frame.rowwise_df', 'as.data.frame.tbl_cube', 'as.table.tbl_cube', 'as.tbl.data.frame', 'as.tbl.tbl', 'as.tbl_cube.array', 'as.tbl_cube.data.frame', 'as.tbl_cube.matrix', 'as.tbl_cube.table', 'as_tibble.grouped_df', 'as_tibble.tbl_cube', 'auto_copy.tbl_cube', 'auto_copy.tbl_df', 'cbind.grouped_df', 'collapse.data.frame', 'collect.data.frame', 'common_by.NULL', 'common_by.character', 'common_by.default', 'common_by.list', 'compute.data.frame', 'copy_to.DBIConnection', 'copy_to.src_local', 'default_missing.data.frame', 'default_missing.default', 'dim.tbl_cube', 'distinct.data.frame', 'distinct.default', 'distinct.grouped_df', 'distinct.tbl_df', 'distinct_.data.frame', 'distinct_.grouped_df', 'distinct_.tbl_df', 'do.NULL', 'do.da [... truncated]
Flavor: r-oldrel-windows-ix86+x86_64