* using log directory ‘/home/hornik/tmp/CRAN_special_donttest/traineR.Rcheck’
* using R Under development (unstable) (2025-12-07 r89119)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc-15 (Debian 15.2.0-9) 15.2.0
    GNU Fortran (Debian 15.2.0-9) 15.2.0
* running under: Debian GNU/Linux forky/sid
* using session charset: UTF-8
* using option ‘--run-donttest’
* checking for file ‘traineR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘traineR’ version ‘2.2.4’
* package encoding: UTF-8
* checking CRAN incoming feasibility ... [7s/10s] OK
* 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 executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘traineR’ can be installed ... [17s/17s] OK
* checking package directory ... OK
* checking for future file timestamps ... 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 ... [4s/4s] OK
* checking whether the package can be loaded with stated dependencies ... [4s/5s] OK
* checking whether the package can be unloaded cleanly ... [4s/4s] OK
* checking whether the namespace can be loaded with stated dependencies ... [4s/4s] OK
* checking whether the namespace can be unloaded cleanly ... [4s/4s] OK
* checking loading without being on the library search path ... [5s/5s] 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 ... [22s/22s] OK
* checking Rd files ... [1s/1s] OK
* checking Rd metadata ... OK
* checking Rd line widths ... 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 examples ... [83s/25s] ERROR
Running examples in ‘traineR-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: train.xgboost
> ### Title: train.xgboost
> ### Aliases: train.xgboost
> 
> ### ** Examples
> 
> 
> ## No test: 
> # Classification
> data("iris")
> 
> n <- seq_len(nrow(iris))
> .sample <- sample(n, length(n) * 0.75)
> data.train <- iris[.sample,]
> data.test <- iris[-.sample,]
> 
> modelo.xg <- train.xgboost(Species~., data.train, nrounds = 10, maximize = FALSE)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '",  :
  Parameter 'watchlist' has been renamed to 'evals'. This warning will become an error in a future version.
[1]	train-mlogloss:0.738285 
[2]	train-mlogloss:0.527359 
[3]	train-mlogloss:0.390308 
[4]	train-mlogloss:0.296220 
[5]	train-mlogloss:0.229717 
[6]	train-mlogloss:0.181500 
[7]	train-mlogloss:0.145874 
[8]	train-mlogloss:0.120036 
[9]	train-mlogloss:0.100249 
[10]	train-mlogloss:0.084281 
> modelo.xg
##### xgb.Booster
call:
  xgb.train(params = params, data = train_aux, nrounds = nrounds, 
    verbose = verbose, print_every_n = print_every_n, early_stopping_rounds = early_stopping_rounds, 
    maximize = maximize, save_period = save_period, save_name = save_name, 
    xgb_model = xgb_model, callbacks = callbacks, eval_metric = "mlogloss", 
    watchlist = watchlist)
# of features: 4 
# of rounds:  10 
callbacks:
   evaluation_log 
evaluation_log:
  iter train_mlogloss
 <int>          <num>
     1     0.73828501
     2     0.52735880
   ---            ---
     9     0.10024916
    10     0.08428103
> prob <- predict(modelo.xg, data.test, type = "prob")
Error in if (predleaf) { : argument is of length zero
Calls: predict ... predict.xgb.Booster.prmdt -> predict -> predict.xgb.Booster
Execution halted
* checking PDF version of manual ... [6s/6s] OK
* checking HTML version of manual ... [4s/4s] OK
* checking for non-standard things in the check directory ... OK
* checking for detritus in the temp directory ... OK
* DONE
Status: 1 ERROR