Create a function to draw from the posterior predictive distribution for a latent model

This function creates a function that draws from the posterior predictive distribution for a latent model using primarycensored::rpcens() to handle censoring and truncation. The returned function takes a prep argument from brms and returns posterior predictions. This is used internally by brms::posterior_predict() to generate predictions for latent models.

Usage

epidist_gen_posterior_predict(family)

Arguments

family

A description of the response distribution and link function to be used in the model. Every family function has a link argument allowing users to specify the link function to be applied on the response variable. If not specified, default links are used. For details of all supported families see brmsfamily(). Commonly used, such as lognormal(), are also reexported as part of epidist.

Value

A function that takes a prep argument from brms and returns a matrix of posterior predictions, with one row per posterior draw and one column per observation. The prep object must have the following variables:

• vreal1: relative observation time

• vreal2: primary event window

• vreal3: secondary event window

See also

brms::posterior_predict() for details on how this is used within brms, primarycensored::rpcens() for details on the censoring approach

Other gen: epidist_gen_posterior_epred()