summary.diffbetadelta

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

methods

Generates confidence intervals for standardized regression coefficients
using delta method standard errors for models fitted by lm()
as described in Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6>
and Jones and Waller (2015) <doi:10.1007/s11336-013-9380-y>.
The package can also be used to generate confidence intervals for
differences of standardized regression coefficients
and as a general approach to performing the delta method.
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

betaDelta

Confidence Intervals for Standardized Regression Coefficients

summary.diffbetadelta function

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

<dl>

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

Description

Usage

Value

Arguments

Author

Examples