Extract the posterior draws of the linear predictor, possibly transformed by the inverse-link function. See posterior_linpred.stanreg() in the rstanarm package for an example.

posterior_linpred(object, transform = FALSE, ...)

## Arguments

object The object to use. Should the linear predictor be transformed using the inverse-link function? The default is FALSE, in which case the untransformed linear predictor is returned. Arguments passed to methods. See the methods in the rstanarm package for examples.

## Value

posterior_linpred() methods should return a $$D$$ by $$N$$ matrix, where $$D$$ is the number of draws from the posterior distribution distribution and $$N$$ is the number of data points.

# See help("posterior_linpred", package = "rstanarm")