summary.betasandwich

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

methods

Generates robust confidence intervals for standardized regression coefficients
using heteroskedasticity-consistent standard errors for models fitted by lm()
as described in Dudgeon (2017) <doi:10.1007/s11336-017-9563-z>.
The package can also be used to generate confidence intervals for R-squared,
adjusted R-squared, and differences of standardized regression coefficients.
A description of the package and code examples
are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.

Ivan Jacob Agaloos Pesigan

betaSandwich

Robust Confidence Intervals for Standardized Regression
Coefficients

summary.betasandwich function

<dl><dt>object</dt>
<dd>Object of class <code>betasandwich</code>.</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 betasandwich — summary.betasandwich

<dl>

<dt>object</dt>
<dd>Object of class <code>betasandwich</code>.</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.betasandwich: Summary Method for an Object of Class `betasandwich`

Description

Usage

Value

Arguments

Author

Examples