Quantile.blrm: Function Generator for Quantiles of Y for 'blrm()'

In rmsb: Bayesian Regression Modeling Strategies

Function Generator for Quantiles of Y for blrm()

Description

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 a quantile of Y using the posterior mean of all the intercepts. lptau must be provided when call the created function if the model is a partial proportional odds model.

Usage

## S3 method for class 'blrm'
Quantile(object, codes = FALSE, posterior.summary = c("mean", "median"), ...)

Arguments

object	a blrm() fit
codes	if TRUE, use the integer codes 1,2,\ldots,k for the k-level response in computing the quantile
posterior.summary	defaults to posterior mean; may also specify "median". Must be consistent with the summary used when creating lp.
...	ignored

Value

an R function

Author(s)

Frank Harrell

rmsb documentation built on April 13, 2025, 5:09 p.m.