[.Ocens

Subset Method for <code>Ocens</code> Objects

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

[.Ocens function

<dl><dt>x</dt>
<dd>an <code>Ocens</code> object</dd>
<dt>rows</dt>
<dd>logical or integer vector</dd>
<dt>cols</dt>
<dd>logical or integer vector</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Author

Ocens — [.Ocens

<dl>

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


<dt>rows</dt>
<dd>logical or integer vector</dd>


<dt>cols</dt>
<dd>logical or integer vector</dd>


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

</dl>

[.Ocens: Ocens

Description

Usage

Value

Arguments

Author

Details