blrm()Creates a function to turn a posterior summarized linear predictor lp (e.g. using posterior mean of intercepts and slopes) computed at the reference intercept into e.g. an estimate of mean Y using the posterior mean of all the intercept. lptau must be provided when call the created function if the model is a partial proportional odds model.
# S3 method for blrm
Mean(object, codes = FALSE, posterior.summary = c("mean", "median"), ...)an R function
a blrm() fit
if TRUE, use the integer codes \(1,2,\ldots,k\) for the \(k\)-level response in computing the predicted mean response.
defaults to posterior mean; may also specify "median". Must be consistent with the summary used when creating lp.
ignored
Frank Harrell