as.data.frame.Ocens

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

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) <https://www.jstor.org/stable/2347760>.

Frank Harrell Jr

rmsb

Bayesian Regression Modeling Strategies

Frank Harrell

Ben Goodrich

Ben Bolker

Doug Bates

as.data.frame.Ocens function

<dl><dt>x</dt>
<dd>an <code>Ocens</code> object</dd>
<dt>row.names</dt>
<dd>optional vector of row names</dd>
<dt>optional</dt>
<dd>set to <code>TRUE</code> if needed</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Author

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

<dl>

<dt>x</dt>
<dd>an <code>Ocens</code> object</dd>


<dt>row.names</dt>
<dd>optional vector of row names</dd>


<dt>optional</dt>
<dd>set to <code>TRUE</code> if needed</dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

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

Description

Usage

Value

Arguments

Author