as.data.frame.Ocens

row.names

<p>set to <code>TRUE</code> if needed</p>

optional

<p>Converts an <code>Ocens</code> object to a data frame so that subsetting will preserve all needed attributes</p>

A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics.  It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'.  The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) <doi:10.2307/2347760>.

Frank Harrell Jr

rmsb

Bayesian Regression Modeling Strategies

Frank Harrell

Ben Goodrich

Ben Bolker

Doug Bates

as.data.frame.Ocens function

Convert <code>Ocens</code> Object to Data Frame to Facilitate Subset — as.data.frame.Ocens

Convert <code>Ocens</code> Object to Data Frame to Facilitate Subset

as.data.frame.Ocens: Convert `Ocens` Object to Data Frame to Facilitate Subset

Description

Usage

Arguments

Value