Error installing CmdStan (Windows 10; Command 'mingw32-make.exe' not found @win/processx.c:983)

Interfaces CmdStan
1

I’m following the install instructions here: https://mc-stan.org/cmdstanr/articles/cmdstanr.html

> install_cmdstan(cores = 2)
* Latest CmdStan release is v2.23.0
* Installing CmdStan v2.23.0 in C:\Users\vuorr\Documents/.cmdstanr/cmdstan-2.23.0
* Downloading cmdstan-2.23.0.tar.gz from GitHub...
* Download complete
* Unpacking archive...
* Building CmdStan binaries...
Error in rethrow_call(c_processx_exec, command, c(command, args), stdin,  : 
  Command 'mingw32-make.exe' not found @win/processx.c:983 (processx_exec)
Type .Last.error.trace to see where the error occured

For what its worth:

> .Last.error.trace

 Stack trace:

 1. cmdstanr:::install_cmdstan(cores = 2)
 2. cmdstanr:::build_cmdstan(dir_cmdstan, cores, quiet, timeout)
 3. processx::run(make_cmd(), args = c(paste0("-j", cores), "build"),  ...
 4. process$new(command, args, echo_cmd = echo_cmd, wd = wd, windows_verbatim_args = windows_verbatim_args,  ...
 5. .subset2(public_bind_env, "initialize")(...)
 6. processx:::process_initialize(self, private, command, args, stdin,  ...
 7. rethrow_call(c_processx_exec, command, c(command, args), stdin,  ...

 x Command 'mingw32-make.exe' not found @win/processx.c:983 (processx_exec)

I also tried without the cores argument.

Operating System: Windows 10
Interface Version: cmdstanr 2.23.0
Compiler/Toolkit: Rtools40

> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18362)

Matrix products: default

locale:
[1] LC_COLLATE=English_United Kingdom.1252  LC_CTYPE=English_United Kingdom.1252   
[3] LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C                           
[5] LC_TIME=English_United Kingdom.1252    

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

other attached packages:
[1] bayesplot_1.7.2     posterior_0.1.0     cmdstanr_0.0.0.9008

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.4.6     rstudioapi_0.11  knitr_1.29       magrittr_1.5     tidyselect_1.1.0 munsell_0.5.0   
 [7] colorspace_1.4-1 R6_2.4.1         rlang_0.4.6      plyr_1.8.6       dplyr_1.0.0      tools_4.0.2     
[13] grid_4.0.2       packrat_0.5.0    checkmate_2.0.0  gtable_0.3.0     xfun_0.15        htmltools_0.5.0 
[19] ellipsis_0.3.1   abind_1.4-5      yaml_2.2.1       digest_0.6.25    tibble_3.0.1     lifecycle_0.2.0 
[25] crayon_1.3.4     processx_3.4.2   purrr_0.3.4      ggplot2_3.3.2    ps_1.3.3         ggridges_0.5.2  
[31] vctrs_0.3.1      glue_1.4.1       evaluate_0.14    rmarkdown_2.3    compiler_4.0.2   pillar_1.4.4    
[37] generics_0.0.2   scales_1.1.1     backports_1.1.8  jsonlite_1.7.0   pkgconfig_2.0.3
2

Did you manually install mingw32-make?

See https://github.com/stan-dev/cmdstanpy/blob/da306ec14dcdf4bb36886a47206cf1a5dfeaa19b/cmdstanpy/install_cxx_toolchain.py#L120

pacman -Sy mingw-w64-x86_64-make
3

Thanks @ahartikainen, I succesfully ran that line of code in the RTools bash shell. However, I then tried again to install CmdStan as above but failed with the same error. Is mingw32-make different to mingw64 mingw-w64-x86_64-make 4.2.1-2 [installed] as installed by the code snippet you pasted?

4

Please take a look here: https://www.maxmantei.com/blog/2020-05-16-installing-cmdstanr-on-windows/cmdstanr-windows/

These are the most complete instruction for Windows right now. Its for cmdstanR but the first parts are the same regardless of whether you are using cmdstan or cmdstanr.

3 Likes
5

Thanks, I’ll give that a shot! (I ended up using RStudio server thru WSL as per your previous link: https://medium.com/lead-and-paper/how-to-use-rstudio-server-for-ubuntu-on-windows-10-a7aeee661a5d)

3 Likes
6

This is actually what I’d suggest as well :)

2 Likes
7

This is a great blog post. Thanks @Max_Mantei. @rok_cesnovar maybe we should link to these instructions from the CmdStanR documentation. What do you think?

1 Like
8

Yes! I also have permission from Max to re-use this for the eventual official Stan instructions.

9

I’ll only be at my computer occasionally this week (I’m in the process of moving) but feel free to add that somewhere in the CmdStanR doc. Maybe in the install_cmdstan() doc and possibly a link in the vignette near where we show how to run install_cmdstan().

10

Will do. Safe travels!

11

I am having this issue but that page is currently down. Is there another place I could find these issues?

12

@JMalnight yeah that link seems to be broken now. As an alternative, @rok_cesnovar made a branch of CmdStanR on GitHub that is intended to help resolve some Windows installation problems. It hasn’t been merged into the main branch of CmdStanR yet but I think it’s functional so you could try it out. To install CmdStanR from that branch you can do:

install_github("stan-dev/cmdstanr", ref = "windows_fixes")

Then you can load the package and try running install_cmdstan() again. Hopefully that will get it installed successfully but if not definitely let us know and we’ll help troubleshoot further.

1 Like
13

Hi. I came across the same problem. I use Windows 10 with RStudio and Rtools4.0. During the cmdstan installation this message pops out:
Error in rethrow_call(c_processx_exec, command, c(command, args), stdin, :
Command ‘mingw32-make.exe’ not found @win/processx.c:994 (processx_exec)
I have tried to manually install mingw32-make.exe (based on the tutorial here: https://genome.sph.umich.edu/wiki/Installing_MinGW_%26_MSYS_on_Windows)
but it did not help. The page with the most compehensible cmdstan installation instructions for Windows is down and the devtools::install_github(“stan-dev/cmdstanr”, ref = “windows_fixes”) redirects me to URL https://api.github.com/repos/stan-dev/cmdstanr/tarball/windows_fixes, that apparently does not exist. Can you help me?

14

Hey @esoturda,

I would advise you or anyone reading this topic at any time in the future to upgrade to the latest cmdstanr version. Currently that is available with

remotes::install_github("stan-dev/cmdstanr")

but will soon also be available at the R package repository.

You can use check_cmdstan_toolchain() to check whether your toolchain is setup correctly. You can also run check_cmdstan_toolchain(fix = TRUE) to fix any issue that can be fixed automatically within R.

4 Likes
15

Amazing! This worked. Everything was fixed with this: check_cmdstan_toolchain(fix = TRUE) I feel like a fool. Thank you <3

2 Likes
16

Don’t feel like a fool! This stuff is annoying as hell and we haven’t really publicized this option yet, as its only available on the Github version. Glad it helped! Enjoy!

2 Likes