Created
December 22, 2021 17:27
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Test if R/Rstudio can run Stan with multiple cores or just hangs
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# Test if R/Rstudio can run Stan with multiple cores or just hangs | |
t1dat = list(N=100, y = rnorm(100)) | |
default_Stan_normal = " | |
// 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); | |
} | |
" | |
getOption("mc.cores") | |
f3 = rstan::stan(model_code = default_Stan_normal, data=t1dat) | |
f3 | |
options(mc.cores = 1) | |
getOption("mc.cores") | |
f3 = rstan::stan(model_code = default_Stan_normal, data=t1dat) | |
f3 | |
options(mc.cores = 2) | |
getOption("mc.cores") | |
f3 = rstan::stan(model_code = default_Stan_normal, data=t1dat) | |
f3 |
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