summary.betamc

Summary Method for an Object of Class
<code>betamc</code>

methods

Generates Monte Carlo confidence intervals
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().
'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect
(Pesigan and Cheung, 2024 <doi:10.3758/s13428-023-02114-4>)
and the sampling covariance matrix of regression coefficients
(Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>)
to generate confidence intervals effect sizes in regression.

Ivan Jacob Agaloos Pesigan

betaMC

Monte Carlo for Regression Effect Sizes

summary.betamc function

<dl><dt>object</dt>
<dd>Object of Class <code>betamc</code>,
that is,
the output of the
<code>BetaMC()</code>,
<code>RSqMC()</code>,
<code>SCorMC()</code>,
<code>DeltaRSqMC()</code>,
<code>PCorMC()</code>, or
<code>DiffBetaMC()</code>
functions.</dd>
<dt>alpha</dt>
<dd>Numeric vector.
Significance level \(\alpha\).
If <code>alpha = NULL</code>,
use the argument <code>alpha</code> used in <code>object</code>.</dd>
<dt>digits</dt>
<dd>Digits to print.</dd>
<dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

Author

Summary Method for an Object of Class
betamc — summary.betamc

<dl>

<dt>object</dt>
<dd>Object of Class <code>betamc</code>,
that is,
the output of the
<code>BetaMC()</code>,
<code>RSqMC()</code>,
<code>SCorMC()</code>,
<code>DeltaRSqMC()</code>,
<code>PCorMC()</code>, or
<code>DiffBetaMC()</code>
functions.</dd>


<dt>alpha</dt>
<dd>Numeric vector.
Significance level \(\alpha\).
If <code>alpha = NULL</code>,
use the argument <code>alpha</code> used in <code>object</code>.</dd>


<dt>digits</dt>
<dd>Digits to print.</dd>


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

</dl>

summary.betamc: Summary Method for an Object of Class `betamc`

Description

Usage

Value

Arguments

Author