I have the following function defined in my stan functions { real weibull_trunc_rng(real alpha, real sigma, real lb){// function to generate truncated weibull; real lp = weibull_cdf(lb, alpha, sigma); real u = uniform_rng(lp, 1); real y = sigma * (-log1m(u))^inv(alpha); return y;…

[image] Lei_Hua: uniform_rng: Upper bound parameter is 1, but must be greater than 1 I’m guessing this means “but must be greater than [lower bound].” If the lower bound is 1 then there’s no room for randomness. Try this: functions { real weibull_trunc_rng(real alpha, real sigma, real lb)…

Error with uniform_rng

Modeling

Lei_Hua December 15, 2020, 5:44pm 3

Thanks a lot! This solves the problem.

1 Like

Generating random numbers from a conditional distribution

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Error with uniform_rng

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