Last updated on 2020-02-19 10:49:00 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.1 | 3.78 | 26.41 | 30.19 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.1 | 3.15 | 20.65 | 23.80 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.1 | 37.00 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.1 | 35.90 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 1.1 | 8.00 | 33.00 | 41.00 | NOTE | |
| r-devel-windows-ix86+x86_64-gcc8 | 1.1 | 10.00 | 47.00 | 57.00 | NOTE | |
| r-patched-linux-x86_64 | 1.1 | 2.98 | 26.11 | 29.09 | NOTE | |
| r-patched-solaris-x86 | 1.1 | 52.60 | NOTE | |||
| r-release-linux-x86_64 | 1.1 | 2.81 | 26.64 | 29.45 | NOTE | |
| r-release-windows-ix86+x86_64 | 1.1 | 6.00 | 49.00 | 55.00 | NOTE | |
| r-release-osx-x86_64 | 1.1 | NOTE | ||||
| r-oldrel-windows-ix86+x86_64 | 1.1 | 5.00 | 34.00 | 39.00 | NOTE | |
| r-oldrel-osx-x86_64 | 1.1 | NOTE |
Version: 1.1
Check: R code for possible problems
Result: NOTE
em: no visible global function definition for 'optim'
em.m: no visible global function definition for 'optim'
fitmix: no visible global function definition for 'model.matrix'
fitmix: no visible global function definition for 'as.formula'
fitmix: no visible global function definition for 'optim'
flt.gr : Af: no visible global function definition for 'dgamma'
integrate.hn: no visible global function definition for 'pnorm'
inv.reparam.pi : F: no visible global function definition for 'pgamma'
inv.reparam.pi : Finv: no visible global function definition for
'qgamma'
plot.ds.mixture: no visible global function definition for 'hist'
plot.ds.mixture: no visible global function definition for 'par'
plot.ds.mixture: no visible global function definition for 'plot'
plot.ds.mixture: no visible global function definition for 'axis'
plot.ds.mixture: no visible global function definition for 'lines'
plot.ds.mixture: no visible global function definition for 'box'
plot.ds.mixture: no visible global function definition for 'as.formula'
plot.ds.mixture: no visible global function definition for
'terms.formula'
plot.ds.mixture: no visible global function definition for 'quantile'
plot.ds.mixture: no visible global function definition for 'grey'
reparam.pi : F: no visible global function definition for 'pgamma'
setinitialvalues: no visible global function definition for 'lm'
setinitialvalues: no visible global function definition for
'as.formula'
sim.mix: no visible global function definition for 'runif'
sim.mix: no visible global function definition for 'optimize'
Undefined global functions or variables:
as.formula axis box dgamma grey hist lines lm model.matrix optim
optimize par pgamma plot pnorm qgamma quantile runif terms.formula
Consider adding
importFrom("grDevices", "grey")
importFrom("graphics", "axis", "box", "hist", "lines", "par", "plot")
importFrom("stats", "as.formula", "dgamma", "lm", "model.matrix",
"optim", "optimize", "pgamma", "pnorm", "qgamma",
"quantile", "runif", "terms.formula")
to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-devel-windows-ix86+x86_64-gcc8, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64
Version: 1.1
Check: examples
Result: ERROR
Running examples in 'mmds-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: fitmix
> ### Title: Mixture Model Distance Detection Function Fitting
> ### Aliases: fitmix
>
> ### ** Examples
>
> library(mmds)
> set.seed(0)
> ## simulate some line transect data from a 2 point mixture
> sim.dat<-sim.mix(c(-0.223,-1.897,inv.reparam.pi(0.3)),2,100,1)
> ## fit the model
> fit.sim.dat<-fitmix(sim.dat,1,2)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
mmds
--- call from context ---
solvecov(-lt$hessian)
--- call from argument ---
if (class(covinv) != "try-error") coll = FALSE else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
--- R stacktrace ---
where 1: solvecov(-lt$hessian)
where 2: fitmix(sim.dat, 1, 2)
--- value of length: 2 type: logical ---
[1] TRUE TRUE
--- function from context ---
function (m, cmax = 1e+10)
{
options(show.error.messages = FALSE)
covinv <- try(solve(m))
if (class(covinv) != "try-error")
coll = FALSE
else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
options(show.error.messages = TRUE)
out <- list(inv = covinv, coll = coll)
}
<bytecode: 0x4e711b8>
<environment: namespace:mmds>
--- function search by body ---
Function solvecov in namespace mmds has this body.
----------- END OF FAILURE REPORT --------------
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.1
Check: examples
Result: ERROR
Running examples in ‘mmds-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: fitmix
> ### Title: Mixture Model Distance Detection Function Fitting
> ### Aliases: fitmix
>
> ### ** Examples
>
> library(mmds)
> set.seed(0)
> ## simulate some line transect data from a 2 point mixture
> sim.dat<-sim.mix(c(-0.223,-1.897,inv.reparam.pi(0.3)),2,100,1)
> ## fit the model
> fit.sim.dat<-fitmix(sim.dat,1,2)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
mmds
--- call from context ---
solvecov(-lt$hessian)
--- call from argument ---
if (class(covinv) != "try-error") coll = FALSE else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
--- R stacktrace ---
where 1: solvecov(-lt$hessian)
where 2: fitmix(sim.dat, 1, 2)
--- value of length: 2 type: logical ---
[1] TRUE TRUE
--- function from context ---
function (m, cmax = 1e+10)
{
options(show.error.messages = FALSE)
covinv <- try(solve(m))
if (class(covinv) != "try-error")
coll = FALSE
else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
options(show.error.messages = TRUE)
out <- list(inv = covinv, coll = coll)
}
<bytecode: 0x55789af4b810>
<environment: namespace:mmds>
--- function search by body ---
Function solvecov in namespace mmds has this body.
----------- END OF FAILURE REPORT --------------
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.1
Check: examples
Result: ERROR
Running examples in ‘mmds-Ex.R’ failed
The error most likely occurred in:
> ### Name: fitmix
> ### Title: Mixture Model Distance Detection Function Fitting
> ### Aliases: fitmix
>
> ### ** Examples
>
> library(mmds)
> set.seed(0)
> ## simulate some line transect data from a 2 point mixture
> sim.dat<-sim.mix(c(-0.223,-1.897,inv.reparam.pi(0.3)),2,100,1)
> ## fit the model
> fit.sim.dat<-fitmix(sim.dat,1,2)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
mmds
--- call from context ---
solvecov(-lt$hessian)
--- call from argument ---
if (class(covinv) != "try-error") coll = FALSE else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
--- R stacktrace ---
where 1: solvecov(-lt$hessian)
where 2: fitmix(sim.dat, 1, 2)
--- value of length: 2 type: logical ---
[1] TRUE TRUE
--- function from context ---
function (m, cmax = 1e+10)
{
options(show.error.messages = FALSE)
covinv <- try(solve(m))
if (class(covinv) != "try-error")
coll = FALSE
else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
options(show.error.messages = TRUE)
out <- list(inv = covinv, coll = coll)
}
<bytecode: 0x4fba4e0>
<environment: namespace:mmds>
--- function search by body ---
Function solvecov in namespace mmds has this body.
----------- END OF FAILURE REPORT --------------
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.1
Check: examples
Result: ERROR
Running examples in ‘mmds-Ex.R’ failed
The error most likely occurred in:
> ### Name: fitmix
> ### Title: Mixture Model Distance Detection Function Fitting
> ### Aliases: fitmix
>
> ### ** Examples
>
> library(mmds)
> set.seed(0)
> ## simulate some line transect data from a 2 point mixture
> sim.dat<-sim.mix(c(-0.223,-1.897,inv.reparam.pi(0.3)),2,100,1)
> ## fit the model
> fit.sim.dat<-fitmix(sim.dat,1,2)
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
mmds
--- call from context ---
solvecov(-lt$hessian)
--- call from argument ---
if (class(covinv) != "try-error") coll = FALSE else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
--- R stacktrace ---
where 1: solvecov(-lt$hessian)
where 2: fitmix(sim.dat, 1, 2)
--- value of length: 2 type: logical ---
[1] TRUE TRUE
--- function from context ---
function (m, cmax = 1e+10)
{
options(show.error.messages = FALSE)
covinv <- try(solve(m))
if (class(covinv) != "try-error")
coll = FALSE
else {
p <- nrow(m)
cove <- eigen(m, symmetric = TRUE)
coll <- TRUE
if (min(cove$values) < 1/cmax) {
covewi <- diag(p)
for (i in 1:p) if (cove$values[i] < 1/cmax)
covewi[i, i] <- cmax
else covewi[i, i] <- 1/cove$values[i]
}
else covewi <- diag(1/cove$values, nrow = length(cove$values))
covinv <- cove$vectors %*% covewi %*% t(cove$vectors)
}
options(show.error.messages = TRUE)
out <- list(inv = covinv, coll = coll)
}
<bytecode: 0x41fa2c8>
<environment: namespace:mmds>
--- function search by body ---
Function solvecov in namespace mmds has this body.
----------- END OF FAILURE REPORT --------------
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc