rmsb: coef.rmsb – R documentation

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coef.rmsb

Extract Bayesian Summary of Coefficients

Description

Computes either the posterior mean (default), posterior median, or posterior mode of the parameters in an rms Bayesian regression model

Usage

## S3 method for class 'rmsb'
coef(object, stat = c("mean", "median", "mode"), ...)

Arguments

`object`	an object created by an `rms` package Bayesian fitting function
`stat`	name of measure of posterior distribution central tendency to compute
`...`	ignored

Value

a vector of intercepts and regression coefficients

Author(s)

Frank Harrell

Examples

## Not run: 
  f <- blrm(...)
  coef(f, stat='mode')

## End(Not run)

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