* using log directory 'd:/Rcompile/CRANpkg/local/4.5/ipred.Rcheck'
* using R version 4.5.3 (2026-03-11 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 14.3.0
    GNU Fortran (GCC) 14.3.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'ipred/DESCRIPTION' ... OK
* this is package 'ipred' version '0.9-15'
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'ipred' can be installed ... OK
* used C compiler: 'gcc.exe (GCC) 14.3.0'
* checking installed package size ... OK
* checking package directory ... OK
* checking 'build' directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [3s] OK
* checking whether the package can be loaded with stated dependencies ... [3s] OK
* checking whether the package can be unloaded cleanly ... [3s] OK
* checking whether the namespace can be loaded with stated dependencies ... [3s] OK
* checking whether the namespace can be unloaded cleanly ... [3s] OK
* checking loading without being on the library search path ... [3s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [15s] OK
* checking Rd files ... [1s] OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... [0s] OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in shell scripts ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking pragmas in C/C++ headers and code ... OK
* checking compiled code ... OK
* checking sizes of PDF files under 'inst/doc' ... OK
* checking installed files from 'inst/doc' ... OK
* checking files in 'vignettes' ... OK
* checking examples ... [7s] ERROR
Running examples in 'ipred-Ex.R' failed
The error most likely occurred in:

> ### Name: errorest
> ### Title: Estimators of Prediction Error
> ### Aliases: errorest errorest.data.frame errorest.default
> ### Keywords: misc
> 
> ### ** Examples
> 
> 
> # Classification
> 
> data("iris")
> library("MASS")
> 
> # force predict to return class labels only
> mypredict.lda <- function(object, newdata)
+   predict(object, newdata = newdata)$class
> 
> # 10-fold cv of LDA for Iris data
> errorest(Species ~ ., data=iris, model=lda, 
+          estimator = "cv", predict= mypredict.lda)

Call:
errorest.data.frame(formula = Species ~ ., data = iris, model = lda, 
    predict = mypredict.lda, estimator = "cv")

	 10-fold cross-validation estimator of misclassification error 

Misclassification error:  0.02 

> 
> data("PimaIndiansDiabetes", package = "mlbench")
Warning in data("PimaIndiansDiabetes", package = "mlbench") :
  data set 'PimaIndiansDiabetes' not found
> ## Not run: 
> ##D # 632+ bootstrap of LDA for Diabetes data
> ##D errorest(diabetes ~ ., data=PimaIndiansDiabetes, model=lda,
> ##D          estimator = "632plus", predict= mypredict.lda)
> ## End(Not run)
> 
> #cv of a fixed partition of the data
> list.tindx <- list(1:100, 101:200, 201:300, 301:400, 401:500,
+         501:600, 601:700, 701:768)
> 
> errorest(diabetes ~ ., data=PimaIndiansDiabetes, model=lda,
+           estimator = "cv", predict = mypredict.lda,
+           est.para = control.errorest(list.tindx = list.tindx))
Error: object 'PimaIndiansDiabetes' not found
Execution halted
* checking for unstated dependencies in 'tests' ... OK
* checking tests ... [16s] OK
  Running 'ipred-bugs.R' [4s]
  Comparing 'ipred-bugs.Rout' to 'ipred-bugs.Rout.save' ... OK
  Running 'ipred-segfault.R' [9s]
  Running 'ipred-smalltest.R' [3s]
  Comparing 'ipred-smalltest.Rout' to 'ipred-smalltest.Rout.save' ... OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [29s] OK
* checking PDF version of manual ... [18s] OK
* checking HTML version of manual ... [8s] OK
* DONE
Status: 1 ERROR