Hello Stan users, I am trying to simulate some fake data for regression and I have come up with two codes: The first code is: data { int<lower=0> N; // Number of obs int<lower=0> P; // Number of expla matrix[N,P] X; // matrix for fake explanatory variables } generated quantities { vector[N] yh…

The first, using rng functions in the GQ block, is the best for simulating data. The rng functions generate proper samples from their respective distributions directly, just like the rnorm()/rweibull()/rexp()/etc in R. Your second approach, using the model block and ~ statements, may yield proper…

Simulating fake data for regression in Stan

Modeling

ants007 October 9, 2021, 1:40pm 3

Thanks Mike. You are truly devoted helping others.
Would you also kindly comment on my other post Sampling from truncated normal distribution - #2 by ants007

Cheers.
AA

1 Like

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Simulating fake data for regression in Stan

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