fixed_effects

The system might not have a unique solution since we do not take
collinearity into account. If the solution is not unique, an estimable
function has to be applied to our solution to get meaningful estimates of
the fixed effects.

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> and Gaure (2013)
<doi:10.1016/j.csda.2013.03.024>.

Mauricio Vargas

capybara

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

Mauricio Vargas Sepulveda

Yoto Yotov

fixed_effects function

<dl><dt>object</dt>
<dd>an object of class <code>"feglm"</code>.</dd>
<dt>control</dt>
<dd>a list of control parameters. If <code>NULL</code>, the default
control parameters are used.</dd></dl>

Arguments

Recover the estimates of the fixed effects after fitting (G)LMs — fixed_effects

<dl>

<dt>object</dt>
<dd>an object of class <code>"feglm"</code>.</dd>


<dt>control</dt>
<dd>a list of control parameters. If <code>NULL</code>, the default
control parameters are used.</dd>

</dl>

fixed_effects: Recover the estimates of the fixed effects after fitting (G)LMs

Description

Usage

Value

Arguments

References

See Also

Examples