augment.feglm

augment.felm

glance.feglm

glance.felm

tidy.feglm

tidy.felm

The provided <code>broom</code> methods do the following:<ol>
<li><code>augment</code>: Takes the input data and adds additional columns with the
fitted values and residuals.</li>
<li><code>glance</code>: Extracts the deviance, null deviance, and the number of
observations.`</li>
<li><code>tidy</code>: Extracts the estimated coefficients and their standard errors.</li>
</ol>

Fast and user-friendly estimation of generalized linear models with
multiple fixed effects and cluster the standard errors. The method to obtain
the estimated fixed-effects coefficients is based on Stammann (2018)
<doi:10.48550/arXiv.1707.01815>, Gaure (2013)
<doi:10.1016/j.csda.2013.03.024>, Berge (2018)
<https://ideas.repec.org/p/luc/wpaper/18-13.html>, and Correia et al. (2020)
<doi: 10.1177/1536867X20909691>.

Mauricio Vargas Sepulveda

capybara

Fast and Memory Efficient Fitting of Linear Models with
High-Dimensional Fixed Effects

Yoto Yotov

augment.feglm function

<dl><dt>x</dt>
<dd>A fitted model object.</dd>
<dt>newdata</dt>
<dd>Optional argument to use data different from the data used to
fit the model.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the method.</dd>
<dt>conf_int</dt>
<dd>Logical indicating whether to include the confidence
interval.</dd>
<dt>conf_level</dt>
<dd>The confidence level for the confidence interval.</dd></dl>

Arguments

Broom Integration — augment.feglm

<dl>

<dt>x</dt>
<dd>A fitted model object.</dd>


<dt>newdata</dt>
<dd>Optional argument to use data different from the data used to
fit the model.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the method.</dd>


<dt>conf_int</dt>
<dd>Logical indicating whether to include the confidence
interval.</dd>


<dt>conf_level</dt>
<dd>The confidence level for the confidence interval.</dd>

</dl>

augment.feglm: Broom Integration

Description

Usage

Value

Arguments

Examples