* using log directory 'd:/Rcompile/CRANpkg/local/4.5/DeCAFS.Rcheck'
* using R Under development (unstable) (2024-06-07 r86704 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 'DeCAFS/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'DeCAFS' version '3.3.3'
* 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 'DeCAFS' can be installed ... OK
* used C++ compiler: 'g++.exe (GCC) 13.2.0'
* checking C++ specification ... NOTE
  Specified C++14: please drop specification unless essential
* checking installed package size ... OK
* checking package 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 ... [1s] OK
* checking whether the package can be loaded with stated dependencies ... [1s] OK
* checking whether the package can be unloaded cleanly ... [0s] WARNING
* checking whether the namespace can be loaded with stated dependencies ... [0s] WARNING
Fatal error: couldn't allocate node stack


A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
* checking whether the namespace can be unloaded cleanly ... [0s] WARNING
* checking loading without being on the library search path ... [0s] 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 ... [5s] 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 LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking use of PKG_*FLAGS in Makefiles ... OK
* checking pragmas in C/C++ headers and code ... OK
* checking compiled code ... OK
* checking examples ... [4s] ERROR
Running examples in 'DeCAFS-Ex.R' failed
The error most likely occurred in:

> ### Name: oilWell
> ### Title: Rock structure data from an oil well
> ### Aliases: oilWell
> ### Keywords: datasets
> 
> ### ** Examples
> 
>  
>  # removing outliers
>  n = length(oilWell)
>  h = 32
>  med = rep(NA, n)
>  for (i in 1:n) {
+    index = max(1, i - h):min(n, i + h)
+    med[i] = median(oilWell[index])
+  }
>  residual = (oilWell - med)
>  
>  y = oilWell[abs(residual) < 8000]
>  sigma = sqrt(var(residual[abs(residual) < 8000]))
>  
>  # running DeCAFS
>  res <- DeCAFS(y/sigma)
Warning: 
Automatic parameters estimation employed.
The choice of penalties for DeCAFS is important - where possible investigate the returned segmentation.
For more details about initial parameters estimation, please see help('estimateParameters').
If unsure of which model is the most suited for a given sequence, run guidedModelSelection().

To silence this warning when using DeCAFS, run DeCAFS with argument: warningMessage = FALSE.
>  plot(res, xlab = "time", ylab = "y", type = "l")
Error in plot.new() : 
  'R_Calloc' could not allocate memory (2354059 of 1 bytes)
Calls: plot -> plot.DeCAFSout -> plot -> plot.default -> plot.new
Execution halted
* checking PDF version of manual ... [6s] OK
* checking HTML version of manual ...