data { int<lower=1> J; // number of data int status[J]; real<lower=0> tt[J]; real x[J]; } parameters { real<lower=1, upper=3> m; real beta; real beta0; } transformed parameters { real<lower=0> eta[J]; for (j in 1:J) eta[j] <- exp(beta * x[j] + beta0); } model { for(j in 1:J){ if(status[j] == 1){ increment_log_prob(weibull_log(tt[j], m, eta[j])); } if(status[j] == 0){ increment_log_prob(weibull_ccd
