# test_dir('rethinking/tests/rethinking_tests',filter="cmdstanr_threads")
# devtools::install_github("stan-dev/cmdstanr")
context('cstan_cmdstanr_support')
library(rethinking)
N <- 1e4
x <- rnorm(N)
m <- 1 + rpois(N,2)
y <- rbinom( N , size=m , prob=inv_logit( -3 + x ) )
dat <- list( y=y , x=x , m=m )
# model code
mc <- "
data{
array[10000] int m;
array[10000] int y;
vector[10000] x;
}
parameters{
real a;
real b;
vector[4] theta;
}
model{
vector[10000] logit_p;
theta ~ normal(0,1);
b ~ normal( 0 , 0.5 );
a ~ normal( 0 , 1.5 );
for ( i in 1:10000 ) {
logit_p[i] = a + b * x[i];
}
y ~ binomial_logit( m , logit_p );
}
"
m <- cstan( model_code=mc , data=dat , chains=4 , cores=4 , rstan_out=FALSE )
precis(m,2)
post <- extract.samples(m)
# with start inits
m2 <- cstan( model_code=mc , data=dat , chains=4 , cores=4 , rstan_out=FALSE , start=list(a=0,b=0,theta=rep(0,4)) )
precis(m2,2)
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