* using log directory 'd:/Rcompile/CRANpkg/local/4.4/ModelMap.Rcheck'
* using R version 4.4.0 RC (2024-04-16 r86468 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.2.0
    GNU Fortran (GCC) 13.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'ModelMap/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'ModelMap' version '3.4.0.4'
* package encoding: UTF-8
* 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 'ModelMap' can be installed ... OK
* 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 ... [8s] OK
* checking whether the package can be loaded with stated dependencies ... [8s] OK
* checking whether the package can be unloaded cleanly ... [9s] OK
* checking whether the namespace can be loaded with stated dependencies ... [8s] OK
* checking whether the namespace can be unloaded cleanly ... [8s] OK
* checking loading without being on the library search path ... [8s] 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 ... [26s] OK
* checking Rd files ... [1s] NOTE
checkRd: (-1) model.importance.plot.Rd:139: Lost braces
   139 | For binary CF models, if{importance.type = 2}, function uses AUC-based variables importances as described by Janitza et al. (2012). Here, the area under the curve instead of the accuracy is used to calculate the importance of each variable. This AUC-based variable importance measure is more robust towards class imbalance. 
       |                         ^
* 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 sizes of PDF files under 'inst/doc' ... OK
* checking installed files from 'inst/doc' ... OK
* checking files in 'vignettes' ... OK
* checking examples ... [11s] OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [319s] OK
* checking PDF version of manual ... [22s] OK
* checking HTML version of manual ... [4s] OK
* DONE
Status: 1 NOTE