vcov.betanb

Sampling Variance-Covariance Matrix Method for an Object of Class
<code>betanb</code>

methods

Generates nonparametric bootstrap confidence intervals
(Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>)
for standardized regression coefficients (beta) and other effect sizes,
including multiple correlation, semipartial correlations,
improvement in R-squared, squared partial correlations,
and differences in standardized regression coefficients,
for models fitted by lm().

Ivan Jacob Agaloos Pesigan

betaNB

Bootstrap for Regression Effect Sizes

vcov.betanb function

<dl><dt>object</dt>
<dd>Object of Class <code>betanb</code>,
that is,
the output of the
<code>BetaNB()</code>,
<code>RSqNB()</code>,
<code>SCorNB()</code>,
<code>DeltaRSqNB()</code>,
<code>PCorNB()</code>, or
<code>DiffBetaNB()</code>
functions.</dd>
<dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

Author

Sampling Variance-Covariance Matrix Method for an Object of Class
betanb — vcov.betanb

<dl>

<dt>object</dt>
<dd>Object of Class <code>betanb</code>,
that is,
the output of the
<code>BetaNB()</code>,
<code>RSqNB()</code>,
<code>SCorNB()</code>,
<code>DeltaRSqNB()</code>,
<code>PCorNB()</code>, or
<code>DiffBetaNB()</code>
functions.</dd>


<dt>...</dt>
<dd>additional arguments.</dd>

</dl>

vcov.betanb: Sampling Variance-Covariance Matrix Method for an Object of Class `betanb`

Description

Usage

Value

Arguments

Author