Error in if (grepl("adaptive", trControl$method) & nrow(tuneGrid) == 1)

[pascaloettli]

Trying to use a bartMachine model, the following error appears with caret 6.0-85 but not with caret 6.0-84

Error in if (grepl("adaptive", trControl$method) & nrow(tuneGrid) == 1) { :
argument is of length zero

Minimal, reproducible example:

library(caret)
library(mlbench)
data(BostonHousing)

bartFit <- train(
  medv ~ .,
  data = BostonHousing,
  method = "bartMachine",
  trControl = trainControl(method = "cv")
)

Session Info:

R version 3.6.2 (2019-12-12)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.3 LTS

Matrix products: default
BLAS/LAPACK: /opt/OpenBLAS/lib/libopenblasp-r0.3.7.so

locale:
 [1] LC_CTYPE=en_US.UTF-8          LC_NUMERIC=C                  LC_TIME=en_GB.UTF-8          
 [4] LC_COLLATE=en_US.UTF-8        LC_MONETARY=en_GB.UTF-8       LC_MESSAGES=en_US.UTF-8      
 [7] LC_PAPER=en_GB.UTF-8          LC_NAME=en_GB.UTF-8           LC_ADDRESS=en_GB.UTF-8       
[10] LC_TELEPHONE=en_GB.UTF-8      LC_MEASUREMENT=en_GB.UTF-8    LC_IDENTIFICATION=en_GB.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] mlbench_2.1-1   caret_6.0-85    ggplot2_3.2.1   lattice_0.20-38 sos_2.0-0       brew_1.0-6     

loaded via a namespace (and not attached):
 [1] bartMachine_1.2.4.2  splines_3.6.2        foreach_1.4.7        carData_3.0-3        prodlim_2019.11.13  
 [6] assertthat_0.2.1     stats4_3.6.2         cellranger_1.1.0     yaml_2.2.0           ipred_0.9-9         
[11] pillar_1.4.3         backports_1.1.5      glue_1.3.1           pROC_1.16.1          digest_0.6.23       
[16] randomForest_4.6-14  colorspace_1.4-1     recipes_0.1.9        htmltools_0.4.0      Matrix_1.2-18       
[21] plyr_1.8.5           timeDate_3043.102    pkgconfig_2.0.3      haven_2.2.0          purrr_0.3.3         
[26] bartMachineJARs_1.1  scales_1.1.0         itertools_0.1-3      openxlsx_4.1.4       gower_0.2.1         
[31] lava_1.6.6           rio_0.5.16           tibble_2.1.3         generics_0.0.2       car_3.0-6           
[36] withr_2.1.2          nnet_7.3-12          lazyeval_0.2.2       survival_3.1-8       magrittr_1.5        
[41] crayon_1.3.4         readxl_1.3.1         evaluate_0.14        nlme_3.1-143         MASS_7.3-51.5       
[46] forcats_0.4.0        foreign_0.8-74       class_7.3-15         tools_3.6.2          data.table_1.12.8   
[51] hms_0.5.3            lifecycle_0.1.0      stringr_1.4.0        munsell_0.5.0        zip_2.0.4           
[56] missForest_1.4       compiler_3.6.2       rlang_0.4.2          grid_3.6.2           iterators_1.0.12    
[61] rstudioapi_0.10      rmarkdown_2.0        gtable_0.3.0         ModelMetrics_1.2.2.1 codetools_0.2-16    
[66] abind_1.4-5          curl_4.3             reshape2_1.4.3       R6_2.4.1             lubridate_1.7.4     
[71] knitr_1.27           dplyr_0.8.3          zeallot_0.1.0        rJava_0.9-11         stringi_1.4.5       
[76] parallel_3.6.2       Rcpp_1.0.3           vctrs_0.2.1          rpart_4.1-15         tidyselect_0.2.5    
[81] xfun_0.12

• Start a new R session
• Install the latest version of caret: update.packages(oldPkgs="caret", ask=FALSE)
• Write a minimal reproducible example
• Do not use parallel processing in the code (unless you are certain that the issue is about parallel processing).
• run sessionInfo()

[pascaloettli]

Same with caret_6.0-86