CRAN Package Check Results for Package manymodelr

Last updated on 2024-03-28 12:50:38 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3.7 17.09 196.56 213.65 OK
r-devel-linux-x86_64-debian-gcc 0.3.7 14.53 148.32 162.85 OK
r-devel-linux-x86_64-fedora-clang 0.3.7 267.02 OK
r-devel-linux-x86_64-fedora-gcc 0.3.7 278.26 OK
r-devel-windows-x86_64 0.3.7 16.00 146.00 162.00 ERROR
r-patched-linux-x86_64 0.3.7 12.57 192.45 205.02 OK
r-release-linux-x86_64 0.3.7 12.92 190.78 203.70 OK
r-release-macos-arm64 0.3.7 88.00 OK
r-release-macos-x86_64 0.3.7 149.00 OK
r-release-windows-x86_64 0.3.7 22.00 198.00 220.00 OK
r-oldrel-macos-arm64 0.3.7 66.00 OK
r-oldrel-windows-x86_64 0.3.7 22.00 196.00 218.00 OK

Check Details

Version: 0.3.7
Check: examples
Result: ERROR Running examples in 'manymodelr-Ex.R' failed The error most likely occurred in: > ### Name: multi_model_1 > ### Title: Simultaneously train and predict on new data. > ### Aliases: multi_model_1 > > ### ** Examples > > data("yields", package="manymodelr") > train_set<-createDataPartition(yields$normal,p=0.8,list=FALSE) > valid_set<-yields[-train_set,] > train_set<-yields[train_set,] > ctrl<-trainControl(method="cv",number=5) > set.seed(233) > m<-multi_model_1(train_set,"normal",".",c("knn","rpart"), + "Accuracy",ctrl,new_data =valid_set) Flavor: r-devel-windows-x86_64

Version: 0.3.7
Check: tests
Result: ERROR Running 'testthat.R' [6s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(manymodelr) Loading required package: caret Loading required package: ggplot2 Loading required package: lattice Loading required package: Metrics Attaching package: 'Metrics' The following objects are masked from 'package:caret': precision, recall Loading required package: e1071 Welcome to manymodelr. This is manymodelr version 0.3.7. Please file issues and feedback at https://www.github.com/Nelson-Gon/manymodelr/issues Turn this message off using 'suppressPackageStartupMessages(library(manymodelr))' Happy Modelling! :) > data("yields", package = "manymodelr") > test_check("manymodelr") Grouped By[1]: normal Grouped By[2]: normal weight Flavor: r-devel-windows-x86_64

Version: 0.3.7
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building 'correlations.rmd' using rmarkdown --- finished re-building 'correlations.rmd' --- re-building 'manymodelr_vignette.rmd' using rmarkdown --- re-building 'misc.rmd' using rmarkdown --- finished re-building 'misc.rmd' --- re-building 'modeling.rmd' using rmarkdown SUMMARY: processing the following files failed: 'manymodelr_vignette.rmd' 'modeling.rmd' Error: Vignette re-building failed. Execution halted Flavor: r-devel-windows-x86_64