I am using the great plotting library bayesplot to visualize posterior probability intervals from models I am estimating with rstanarm. I want to graphically compare draws from different models by ...

while installing rstan getting following error: Error in .shlib_internal(args) : C++14 standard requested but CXX14 is not defined from research got to know that C++14 compiler should be availa...

What is the proper way to format a categorical predictor to use in STAN? I cannot seem to input a categorical predictor as a normal factor variable, so what is the quickest way to transform a norma...

I'm developing a Bayesian regression model through rstanarm that combines multinomial, binomial, and scale predictors on a scale dependent variable. As a regular model, my model would look as it do...

I want to incorporate weights into the likelihood of a WINBUGS model to do what brms does with weights. The usual BUGS approaches to accomplish that for dnorm and dpois are not working for dbin. ...

I would like to get the estimated coefficients of a model using rstan in an rnotebook I have the following stan chunk: ```{stan output.var="rats"} data { int<lower=0> N; int<lower=0&gt...

I am using maximum-likelihood optimization in Stan, but unfortunately the optimizing() function doesn't report standard errors: > MLb4c <- optimizing(get_stanmodel(fitb4c), data = win.data, ...