distSym

From a sample from a distribution computes a symmetry measure. By default it is the gap between the mean and the 0.95 quantile divided by the gap between the 0.05 quantile and the mean.

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

distSym function

<dl><dt>x</dt>
<dd>a numeric vector representing a sample from a continuous distribution</dd>
<dt>prob</dt>
<dd>quantile interval coverage</dd>
<dt>na.rm</dt>
<dd>set to <code>TRUE</code> to remove <code>NA</code>s before proceeding.</dd></dl>

Arguments

Author

Distribution Symmetry Measure — distSym

<dl>

<dt>x</dt>
<dd>a numeric vector representing a sample from a continuous distribution</dd>


<dt>prob</dt>
<dd>quantile interval coverage</dd>


<dt>na.rm</dt>
<dd>set to <code>TRUE</code> to remove <code>NA</code>s before proceeding.</dd>

</dl>

distSym: Distribution Symmetry Measure

Description

Usage

Value

Arguments

Author