Error message running RStan example using R 4.4.1, rstan 2.32.6

[evelynstrombom]

Summary

Complete documentation of verification of rstan using the RStan example.

Description:

For new stan users like myself, the below could use clarification:

1. In the section Verifying Installation, there is missing text after "You may also see the warning:"

"To verify your installation, you can run the RStan example/test model: example(stan_model, package = "rstan", run.dontrun = TRUE) The model should then compile and sample. You may also see the warning:"

The error message I get is: Compilation ERROR, function(s)/method(s) not created! Error in compileCode(f, code, language = language, verbose = verbose) : Error in system(paste(MAKE, p1(paste("-f", shQuote(makefiles))), "compilers"), : 'make' not foundCalls: <Anonymous> -> .shlib_internal -> systemExecution halted

I'm unclear if this is the expected error or already indicates a different issue in the installation that I need to address.

2. The full set of error messages I get after running library("rstan"): [Addressed in Getting Started] For execution on a local, multicore CPU with excess RAM we recommend calling options(mc.cores = parallel::detectCores()).

[Addressed in Getting Started] To avoid recompilation of unchanged Stan programs, we recommend calling rstan_options(auto_write = TRUE)

[Can you address this in the documentation?] For within-chain threading using reduce_sum() or map_rect() Stan functions, change threads_per_chain option: rstan_options(threads_per_chain = 1)

[Unique to Windows, but not clear how to check "if your Makevars.win file does not contain this flag"] Do not specify '-march=native' in 'LOCAL_CPPFLAGS' or a Makevars file

3. Under Example 1, File -> New File -> Stan File generates a simple stan model with a header (below). It would be helpful to mention whether this should be kept or not when copying over the specified code for schools.stan and make clear
   that schools_dat.. and fit... go in the console or a separate .R file. // // This Stan program defines a simple model, with a // vector of values 'y' modeled as normally distributed // with mean 'mu' and standard deviation 'sigma'. // // Learn more about model development with Stan at: // // http://mc-stan.org/users/interfaces/rstan.html // https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started //

// The input data is a vector 'y' of length 'N'. data { int<lower=0> N; vector[N] y; }

// The parameters accepted by the model. Our model // accepts two parameters 'mu' and 'sigma'. parameters { real mu; real<lower=0> sigma; }

// The model to be estimated. We model the output // 'y' to be normally distributed with mean 'mu' // and standard deviation 'sigma'. model { y ~ normal(mu, sigma); }

RStan Version:

2.32.6

R Version:

"R version 4.4.1 (2024-06-14 ucrt)"

Operating System:

Windows 10Pro v.22H2