# C Stack Trace Errors

**URL:** <https://discourse.mc-stan.org/t/c-stack-trace-errors/19172>\
**Category:** brms\
**Tags:** rstan\
**Created:** [November 9, 2020, 4:35pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172 "2020-11-09T16:35:40Z")\
**Posts on this page:** 7\
**Page:** 1

<div class="post-metadata">

**Author:** ![bacalfa](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bacalfa/32/5366_2.png) [@bacalfa](https://discourse.mc-stan.org/u/bacalfa)\
**Post date:** [November 9, 2020, 4:35pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172/1 "2020-11-09T16:35:40Z")

</div>

What could cause the following behavior? Unfortunately, I can’t share the code. But all of a sudden, I’m unable to successfully run `brms` on the same examples I used to be able to.

I have:

```
R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

```

And below is the run log. I try to fit a model twice, and they seem to run fine. The problem seems to occur afterward.

```
Loading required package: StanHeaders
Loading required package: ggplot2
rstan (Version 2.21.2, GitRev: 2e1f913d3ca3)
For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores()).
To avoid recompilation of unchanged Stan programs, we recommend calling
rstan_options(auto_write = TRUE)
Do not specify '-march=native' in 'LOCAL_CPPFLAGS' or a Makevars file
Loading required package: Rcpp
Loading 'brms' package (version 2.14.4). Useful instructions
can be found by typing help('brms'). A more detailed introduction
to the package is available through vignette('brms_overview').

Attaching package: 'brms'

The following object is masked from 'package:rstan':

    loo

The following object is masked from 'package:stats':

    ar

Loading required package: usethis
Compiling Stan program...
Warning message:
In system(paste(cmd, "-n")) : 'make' not found
Start sampling
starting worker pid=11432 on localhost:11102 at 11:23:20.635
starting worker pid=9212 on localhost:11102 at 11:23:21.047
starting worker pid=14828 on localhost:11102 at 11:23:21.500
starting worker pid=13952 on localhost:11102 at 11:23:21.955

SAMPLING FOR MODEL '27306ff5df2e1c257221e6aa1f6284d4' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: Iteration: 1 / 4000 [0%] (Warmup)
Chain 1: Iteration: 400 / 4000 [10%] (Warmup)
Chain 1: Iteration: 800 / 4000 [20%] (Warmup)
Chain 1: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 1: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 1: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 1: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 1: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 1: Iteration: 2800 / 4000 [70%] (Sampling)

SAMPLING FOR MODEL '27306ff5df2e1c257221e6aa1f6284d4' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2: 
Chain 2: 
Chain 1: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 2: Iteration: 1 / 4000 [0%] (Warmup)
Chain 1: Iteration: 3600 / 4000 [90%] (Sampling)
Chain 2: Iteration: 400 / 4000 [10%] (Warmup)
Chain 1: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 1: 
Chain 1: Elapsed Time: 0.172 seconds (Warm-up)
Chain 1: 0.151 seconds (Sampling)
Chain 1: 0.323 seconds (Total)
Chain 1: 
Chain 2: Iteration: 800 / 4000 [20%] (Warmup)
Chain 2: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 2: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 2: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 2: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 2: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 2: Iteration: 2800 / 4000 [70%] (Sampling)
Chain 2: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 2: Iteration: 3600 / 4000 [90%] (Sampling)
Chain 2: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 2: 
Chain 2: Elapsed Time: 0.184 seconds (Warm-up)
Chain 2: 0.164 seconds (Sampling)
Chain 2: 0.348 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL '27306ff5df2e1c257221e6aa1f6284d4' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 0 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3: 
Chain 3: 
Chain 3: Iteration: 1 / 4000 [0%] (Warmup)
Chain 3: Iteration: 400 / 4000 [10%] (Warmup)
Chain 3: Iteration: 800 / 4000 [20%] (Warmup)
Chain 3: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 3: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 3: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 3: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 3: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 3: Iteration: 2800 / 4000 [70%] (Sampling)
Chain 3: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 3: Iteration: 3600 / 4000 [90%] (Sampling)
Chain 3: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 3: 
Chain 3: Elapsed Time: 0.157 seconds (Warm-up)
Chain 3: 0.144 seconds (Sampling)
Chain 3: 0.301 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL '27306ff5df2e1c257221e6aa1f6284d4' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 0 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4: 
Chain 4: 
Chain 4: Iteration: 1 / 4000 [0%] (Warmup)
Chain 4: Iteration: 400 / 4000 [10%] (Warmup)
Chain 4: Iteration: 800 / 4000 [20%] (Warmup)
Chain 4: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 4: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 4: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 4: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 4: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 4: Iteration: 2800 / 4000 [70%] (Sampling)
Chain 4: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 4: Iteration: 3600 / 4000 [90%] (Sampling)
Chain 4: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 4: 
Chain 4: Elapsed Time: 0.157 seconds (Warm-up)
Chain 4: 0.156 seconds (Sampling)
Chain 4: 0.313 seconds (Total)
Chain 4: 
Compiling Stan program...
Warning message:
In system(paste(cmd, "-n")) : 'make' not found
Start sampling
starting worker pid=1656 on localhost:11102 at 11:24:06.261
starting worker pid=10868 on localhost:11102 at 11:24:06.685
starting worker pid=15252 on localhost:11102 at 11:24:07.062
starting worker pid=15980 on localhost:11102 at 11:24:07.468

SAMPLING FOR MODEL '5705fb2064205c5f40a89a50756107f7' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: Iteration: 1 / 4000 [0%] (Warmup)
Chain 1: Iteration: 400 / 4000 [10%] (Warmup)
Chain 1: Iteration: 800 / 4000 [20%] (Warmup)
Chain 1: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 1: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 1: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 1: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 1: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 1: Iteration: 2800 / 4000 [70%] (Sampling)
Chain 1: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 1: Iteration: 3600 / 4000 [90%] (Sampling)

SAMPLING FOR MODEL '5705fb2064205c5f40a89a50756107f7' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 0 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2: 
Chain 2: 
Chain 2: Iteration: 1 / 4000 [0%] (Warmup)
Chain 1: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 1: 
Chain 1: Elapsed Time: 0.157 seconds (Warm-up)
Chain 1: 0.14 seconds (Sampling)
Chain 1: 0.297 seconds (Total)
Chain 1: 
Chain 2: Iteration: 400 / 4000 [10%] (Warmup)
Chain 2: Iteration: 800 / 4000 [20%] (Warmup)
Chain 2: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 2: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 2: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 2: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 2: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 2: Iteration: 2800 / 4000 [70%] (Sampling)
Chain 2: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 2: Iteration: 3600 / 4000 [90%] (Sampling)
Chain 2: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 2: 
Chain 2: Elapsed Time: 0.17 seconds (Warm-up)
Chain 2: 0.156 seconds (Sampling)
Chain 2: 0.326 seconds (Total)
Chain 2: 

SAMPLING FOR MODEL '5705fb2064205c5f40a89a50756107f7' NOW (CHAIN 3).
Chain 3: 
Chain 3: Gradient evaluation took 0 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3: 
Chain 3: 
Chain 3: Iteration: 1 / 4000 [0%] (Warmup)
Chain 3: Iteration: 400 / 4000 [10%] (Warmup)
Chain 3: Iteration: 800 / 4000 [20%] (Warmup)
Chain 3: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 3: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 3: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 3: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 3: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 3: Iteration: 2800 / 4000 [70%] (Sampling)
Chain 3: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 3: Iteration: 3600 / 4000 [90%] (Sampling)
Chain 3: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 3: 
Chain 3: Elapsed Time: 0.143 seconds (Warm-up)
Chain 3: 0.15 seconds (Sampling)
Chain 3: 0.293 seconds (Total)
Chain 3: 

SAMPLING FOR MODEL '5705fb2064205c5f40a89a50756107f7' NOW (CHAIN 4).
Chain 4: 
Chain 4: Gradient evaluation took 0 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4: 
Chain 4: 
Chain 4: Iteration: 1 / 4000 [0%] (Warmup)
Chain 4: Iteration: 400 / 4000 [10%] (Warmup)
Chain 4: Iteration: 800 / 4000 [20%] (Warmup)
Chain 4: Iteration: 1200 / 4000 [30%] (Warmup)
Chain 4: Iteration: 1600 / 4000 [40%] (Warmup)
Chain 4: Iteration: 2000 / 4000 [50%] (Warmup)
Chain 4: Iteration: 2001 / 4000 [50%] (Sampling)
Chain 4: Iteration: 2400 / 4000 [60%] (Sampling)
Chain 4: Iteration: 2800 / 4000 [70%] (Sampling)
Chain 4: Iteration: 3200 / 4000 [80%] (Sampling)
Chain 4: Iteration: 3600 / 4000 [90%] (Sampling)
Chain 4: Iteration: 4000 / 4000 [100%] (Sampling)
Chain 4: 
Chain 4: Elapsed Time: 0.196 seconds (Warm-up)
Chain 4: 0.165 seconds (Sampling)
Chain 4: 0.361 seconds (Total)
Chain 4: 
Loading required package: survival

Attaching package: 'survival'

The following object is masked from 'package:brms':

    kidney

==== C stack trace ===============================

	(No symbol) [0x0x472f730]
	R_RunWeakRefFinalizer [0x0xc7f326f+383]
	R_RunWeakRefFinalizer [0x0xc7f3507+1047]
	R_initAssignSymbols [0x0xc7b67a9+72761]
	Rf_eval [0x0xc7bb841+369]
	R_cmpfun1 [0x0xc7bd547+1191]
	Rf_applyClosure [0x0xc7be7aa+442]
	R_has_methods_attached [0x0xc7fa088+920]
	R_has_methods_attached [0x0xc7fa5d4+2276]
	R_initAssignSymbols [0x0xc7a504f+1247]
	R_initAssignSymbols [0x0xc7b2cee+57726]
	Rf_eval [0x0xc7bb841+369]
	R_cmpfun1 [0x0xc7bd547+1191]
	Rf_applyClosure [0x0xc7be7aa+442]
	R_initAssignSymbols [0x0xc7b2994+56868]
	R_forceAndCall [0x0xc7c3896+10726]
	R_forceAndCall [0x0xc7c3eb6+12294]
	Rf_eval [0x0xc7bbc25+1365]
	Rf_ReplIteration [0x0xc7e4c61+673]
	Rf_ReplIteration [0x0xc7e4fc1+1537]
	run_Rmainloop [0x0xc7e505d+77]
	(No symbol) [0x0x4016da]
	(No symbol) [0x0x4038bf]
	(No symbol) [0x0x4013c5]
	(No symbol) [0x0x40152b]
	BaseThreadInitThunk [0x0x7ffa1b327974+20]
	RtlUserThreadStart [0x0x7ffa1c9fa271+33]

```

---

<div class="post-metadata">

**Author:** ![hhau](https://avatars.discourse-cdn.com/v4/letter/h/2bfe46/32.png) [@hhau](https://discourse.mc-stan.org/u/hhau)\
**Post date:** [November 9, 2020, 6:32pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172/2 "2020-11-09T18:32:41Z")

</div>

The messages just before that error suggest it is coming from another R package, or from some function inside R. I would suggest

- reinstalling all of your R packages.
- figuring out what is giving you the `make not found` error, which may be illuminating.

---

<div class="post-metadata">

**Author:** ![bacalfa](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bacalfa/32/5366_2.png) [@bacalfa](https://discourse.mc-stan.org/u/bacalfa)\
**Post date:** [November 9, 2020, 8:18pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172/3 "2020-11-09T20:18:11Z")

</div>

Thanks. I’m running the following command:

```
install.packages(pkgs=unname(installed.packages()[, "Package"]))

```

As to missing `make`, for Rtools35, I noticed that `C:\Rtools\mingw_32\bin` and `C:\Rtools\mingw_64\bin` have no `make.exe`. It’s in `C:\Rtools\bin`. For Rtools40, it’s in `C:\rtools40\usr\bin`. Maybe this has something to do with how `BINPREF` is set. Will investigate.

---

<div class="post-metadata">

**Author:** ![bacalfa](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bacalfa/32/5366_2.png) [@bacalfa](https://discourse.mc-stan.org/u/bacalfa)\
**Post date:** [November 9, 2020, 9:23pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172/4 "2020-11-09T21:23:06Z")

</div>

`rstan` is giving me problems. It requires `CXX14` to be defined. I had renamed `Makevars.win` to `Makevars.win.bak` following another thread’s suggestion.

```
> install.packages(pkgs="rstan")

  There is a binary version available but the source version is later:
      binary source needs_compilation
rstan 2.19.3 2.21.2 TRUE

Do you want to install from sources the package which needs compilation? (Yes/no/cancel) Yes
installing the source package 'rstan'

trying URL 'https://cran.case.edu/src/contrib/rstan_2.21.2.tar.gz'
Content type 'application/x-gzip' length 1152008 bytes (1.1 MB)
downloaded 1.1 MB

In R CMD INSTALL
* installing *source* package 'rstan' ...
** package 'rstan' successfully unpacked and MD5 sums checked
** libs

*** arch - i386
Error in .shlib_internal(args) :
  C++14 standard requested but CXX14 is not defined
* removing 'C:/Users/abreucbr/Documents/R/R-3.5.0/library/rstan'
* restoring previous 'C:/Users/abreucbr/Documents/R/R-3.5.0/library/rstan'

The downloaded source packages are in
        'C:\Users\abreucbr\AppData\Local\Temp\RtmpAVbpDP\downloaded_packages'
Warning message:
In install.packages(pkgs = "rstan") :
  installation of package 'rstan' had non-zero exit status

```

So I renamed it back and it contains the following:

```
CXX14FLAGS=-O3
CXX14 = g++ -m$(WIN) -std=c++14
CXX11FLAGS=-O3

```

After renaming it back, I get the following error:

```
> install.packages(pkgs="rstan")

  There is a binary version available but the source version is later:
      binary source needs_compilation
rstan 2.19.3 2.21.2 TRUE

Do you want to install from sources the package which needs compilation? (Yes/no/cancel) Yes
installing the source package 'rstan'

trying URL 'https://cran.case.edu/src/contrib/rstan_2.21.2.tar.gz'
Content type 'application/x-gzip' length 1152008 bytes (1.1 MB)
downloaded 1.1 MB

In R CMD INSTALL
* installing *source* package 'rstan' ...
** package 'rstan' successfully unpacked and MD5 sums checked
** libs

*** arch - i386
g++ -m32 -std=c++14 -I"C:/Users/abreucbr/DOCUME~1/R/R-35~1.0/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"." -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -DSTAN_THREADS -DRCPP_PARALLEL_USE_TBB=1 -I"C:/Users/abreucbr/Documents/R/R-3.5.0/library/Rcpp/include" -I"C:/Users/abreucbr/Documents/R/R-3.5.0/library/RcppEigen/include" -I"C:/Users/abreucbr/Documents/R/R-3.5.0/library/BH/include" -I"C:/Users/abreucbr/Documents/R/R-3.5.0/library/StanHeaders/include" -I"C:/Users/abreucbr/Documents/R/R-3.5.0/library/RcppParallel/include" -DRCPP_PARALLEL_USE_TBB=1 -O3 -c sparse_extractors.cpp -o sparse_extractors.o
In file included from C:/Users/abreucbr/Miniconda3/Library/mingw-w64/include/c++/5.3.0/random:49:0,
                 from C:/Users/abreucbr/Miniconda3/Library/mingw-w64/include/c++/5.3.0/bits/stl_algo.h:66,
                 from C:/Users/abreucbr/Miniconda3/Library/mingw-w64/include/c++/5.3.0/algorithm:62,
                 from C:/Users/abreucbr/Documents/R/R-3.5.0/library/RcppEigen/include/Eigen/Core:288,
                 from C:/Users/abreucbr/Documents/R/R-3.5.0/library/RcppEigen/include/Eigen/Dense:1,
                 from C:/Users/abreucbr/Documents/R/R-3.5.0/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from C:/Users/abreucbr/Documents/R/R-3.5.0/library/StanHeaders/include/stan/math/prim/mat/meta/append_return_type.hpp:4,
                 from C:/Users/abreucbr/Documents/R/R-3.5.0/library/StanHeaders/include/stan/math/prim/meta.hpp:9,
                 from C:/Users/abreucbr/Documents/R/R-3.5.0/library/StanHeaders/include/stan/math/prim/mat/fun/csr_extract_u.hpp:4,
                 from sparse_extractors.cpp:2:
C:/Users/abreucbr/Miniconda3/Library/mingw-w64/include/c++/5.3.0/bits/random.h:106:26: error: expected unqualified-id before '__int128'
       { typedef unsigned __int128 type; };
                          ^
make: *** [C:/Users/abreucbr/DOCUME~1/R/R-35~1.0/etc/i386/Makeconf:215: sparse_extractors.o] Error 1
ERROR: compilation failed for package 'rstan'
* removing 'C:/Users/abreucbr/Documents/R/R-3.5.0/library/rstan'
* restoring previous 'C:/Users/abreucbr/Documents/R/R-3.5.0/library/rstan'

```

Why is it looking for headers in `C:/Users/abreucbr/Miniconda3/Library/mingw-w64/include`?

---

<div class="post-metadata">

**Author:** ![bgoodri](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bgoodri/32/4451_2.png) [@bgoodri](https://discourse.mc-stan.org/u/bgoodri)\
**Post date:** [November 9, 2020, 9:49pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172/5 "2020-11-09T21:49:24Z")

</div>

> [@bacalfa](#):
>
> Why is it looking for headers in `C:/Users/abreucbr/Miniconda3/Library/mingw-w64/include` ?

The miniconda installation messed with the configuration files. However, you should be able to install binary rstan packages for Windows from

> **[rstan: R Interface to Stan](https://cran.r-project.org/web/packages/rstan/index.html)**
>
> User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that...

Although my guess is that you will have miniconda-related problems later.

---

<div class="post-metadata">

**Author:** ![bacalfa](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bacalfa/32/5366_2.png) [@bacalfa](https://discourse.mc-stan.org/u/bacalfa)\
**Post date:** [November 9, 2020, 9:52pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172/6 "2020-11-09T21:52:56Z")

</div>

What a nightmare…!

How about `install.packages("rstan", type = "win.binary", dependencies = TRUE)`?

---

<div class="post-metadata">

**Author:** ![bacalfa](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bacalfa/32/5366_2.png) [@bacalfa](https://discourse.mc-stan.org/u/bacalfa)\
**Post date:** [November 9, 2020, 10:30pm UTC](https://discourse.mc-stan.org/t/c-stack-trace-errors/19172/7 "2020-11-09T22:30:14Z")

</div>

That seems to have worked.

`install.packages(pkgs=unname(installed.packages()[, "Package"]), type = "win.binary", dependencies = TRUE)`

My example isn’t crashing again.