rmsb: Quantile.blrm – R documentation

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Quantile.blrm

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,…,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

Bayesian Regression Modeling Strategies

v0.0.2

GPL (>= 3)

Authors

Frank Harrell [aut, cre] (<https://orcid.org/0000-0002-8271-5493>), Ben Goodrich [ctb] (contributed Stan code), Ben Bolker [ctb] (wrote original code that is folded into the pdensityContour function), Doug Bates [ctb] (write original code for highest posterior density interval that is folded into the HPDint function)

Initial release

2021-02-27