confint.rsqbetasandwich

Confidence Intervals for
Multiple Correlation Coefficients
(R-Squared and Adjusted R-Squared)

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

confint.rsqbetasandwich function

<dl><dt>object</dt>
<dd>Object of class <code>rsqbetasandwich</code>.</dd>
<dt>parm</dt>
<dd>a specification of which parameters
are to be given confidence intervals,
either a vector of numbers or a vector of names.
If missing, all parameters are considered.</dd>
<dt>level</dt>
<dd>the confidence level required.</dd>
<dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

Author

Confidence Intervals for
Multiple Correlation Coefficients
(R-Squared and Adjusted R-Squared) — confint.rsqbetasandwich

<dl>

<dt>object</dt>
<dd>Object of class <code>rsqbetasandwich</code>.</dd>


<dt>parm</dt>
<dd>a specification of which parameters
are to be given confidence intervals,
either a vector of numbers or a vector of names.
If missing, all parameters are considered.</dd>


<dt>level</dt>
<dd>the confidence level required.</dd>


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

</dl>

confint.rsqbetasandwich: Confidence Intervals for Multiple Correlation Coefficients (R-Squared and Adjusted R-Squared)

Description

Usage

Value

Arguments

Author

Examples