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Model continuous and mixed outcomes using Bayesian Cumulative Probability Models
Nathan how do you specify the link function?
In the example the link was not specified and the comment says the probit link is being used. Is that correct?
On an unrelated note:
options(mc.cores = parallel::detectCores())
# To avoid recompilation of unchanged Stan programs:
rstan::rstan_options(auto_write = TRUE)
w <- fit_cdf
ggplot(w, aes(x=yval, y=med_cdf, color=as.factor(x1))) + geom_step() +
geom_ribbon(aes(ymin=cdf_q10, ymax=cdf_q90), linetype=0, alpha=0.2) +
guides(color=guide_legend(title='x1')) +
xlab('y') + ylab('Posterior Median CDF')
# Would be nice if could specify step functions for geom_ribbon
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