CRAN Package Check Results for Package Modeler

Last updated on 2025-01-09 01:49:48 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.4.5 OK
r-devel-linux-x86_64-debian-gcc 3.4.5 4.16 49.22 53.38 ERROR
r-devel-linux-x86_64-fedora-clang 3.4.5 ERROR
r-devel-linux-x86_64-fedora-gcc 3.4.5 ERROR
r-devel-windows-x86_64 3.4.5 7.00 119.00 126.00 OK
r-patched-linux-x86_64 3.4.5 6.13 65.64 71.77 ERROR
r-release-linux-x86_64 3.4.5 4.96 65.89 70.85 OK
r-release-macos-arm64 3.4.7 41.00 OK
r-release-macos-x86_64 3.4.7 136.00 OK
r-release-windows-x86_64 3.4.5 7.00 97.00 104.00 OK
r-oldrel-macos-arm64 3.4.7 43.00 OK
r-oldrel-macos-x86_64 3.4.7 134.00 OK
r-oldrel-windows-x86_64 3.4.5 8.00 111.00 119.00 ERROR

Check Details

Version: 3.4.5
Check: examples
Result: ERROR Running examples in ‘Modeler-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: learnRPART > ### Title: Fit models and make predictions with a PCA-LR classifier > ### Aliases: learnRPART predictRPART modelerRPART > ### Keywords: classif multivariate > > ### ** Examples > > # simulate some data > data <- matrix(rnorm(100*20), ncol=20) > status <- factor(rep(c("A", "B"), each=10)) > > # set up the parameter list > rpart.params <- list(minNgenes=10, alpha=0.10, perVar=0.80, prior=0.5) > > # learn the model > fm <- learnRPART(data, status, rpart.params, predictRPART) Error in rpart(status ~ ., data = tda, control = params) : unkown named elements in 'control' Calls: learnRPART -> rpart Execution halted Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64

Version: 3.4.5
Check: examples
Result: ERROR Running examples in ‘Modeler-Ex.R’ failed The error most likely occurred in: > ### Name: learnRPART > ### Title: Fit models and make predictions with a PCA-LR classifier > ### Aliases: learnRPART predictRPART modelerRPART > ### Keywords: classif multivariate > > ### ** Examples > > # simulate some data > data <- matrix(rnorm(100*20), ncol=20) > status <- factor(rep(c("A", "B"), each=10)) > > # set up the parameter list > rpart.params <- list(minNgenes=10, alpha=0.10, perVar=0.80, prior=0.5) > > # learn the model > fm <- learnRPART(data, status, rpart.params, predictRPART) Error in rpart(status ~ ., data = tda, control = params) : unkown named elements in 'control' Calls: learnRPART -> rpart Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-windows-x86_64