Problem using rstan on OSX Catalina

General
,
1

I’m hitting an error trying to use rstan::stan_model, it always fails for me.

From reading previous forum messages, I feel like this might have to do with Mac OSX Catalina (10.15.6), but I’m not sure. I’ve tried everything suggested from previous formum messages, including upgrading to the “develop” version of rstan.

Here’s output of version, and the output of what I’m seeing:

version

##                _                           
## platform       x86_64-apple-darwin17.0     
## arch           x86_64                      
## os             darwin17.0                  
## system         x86_64, darwin17.0          
## status                                     
## major          4                           
## minor          0.2                         
## year           2020                        
## month          06                          
## day            22                          
## svn rev        78730                       
## language       R                           
## version.string R version 4.0.2 (2020-06-22)
## nickname       Taking Off Again            

library(rstan)

## Loading required package: StanHeaders
## Loading required package: ggplot2
## rstan (Version 2.21.3, 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)

stan_code <- '
data {
  int<lower=0> N;
  vector[N] x;
  vector[N] y;
}
parameters {
  real alpha;
  real beta;
  real<lower=0> sigma;
}
model {
  y ~ normal(alpha + beta * x, sigma);
}

'

stan_mod <- rstan::stan_model(model_code = stan_code)

## 'config' variable 'CPP' is deprecated
## clang -mmacosx-version-min=10.13 -E
## Warning message:
## In system(paste(CPP, ARGS), ignore.stdout = TRUE, ignore.stderr = TRUE) :
##   error in running command

stan_mod

## Error: object 'stan_mod' not found

I can provide any additional system information, if that’s helpful.

Thank you very much for any help.

2

This appears to have been resolved by the following alternate post:

Dealing with Catalina III

which suggested installing rstan from source:

install.packages("rstan", type = "source")