print.feglm

<code>print.feglm</code> is a generic function which displays some minimal information from 
objects returned by <code>feglm</code>.

Provides a routine to partial out factors with many levels during the optimization of the log-likelihood function of the corresponding generalized linear model (glm). The package is based on the algorithm described in Stammann (2018) <arXiv:1707.01815> and is restricted to glm's that are based on maximum likelihood estimation and nonlinear. It also offers an efficient algorithm to recover estimates of the fixed effects in a post-estimation routine and includes robust and multi-way clustered standard errors. Further the package provides analytical bias corrections for binary choice models derived by Fernandez-Val and Weidner (2016) <doi:10.1016/j.jeconom.2015.12.014> and Hinz, Stammann, and Wanner (2020) <arXiv:2004.12655>.

Amrei Stammann

alpaca

Fit GLM's with High-Dimensional k-Way Fixed Effects

Daniel Czarnowske

print.feglm function

<dl><dt>x</dt>
<dd>an object of class <code>"feglm"</code>.</dd>
<dt>digits</dt>
<dd>unsigned integer indicating the number of decimal places. Default is 
<code>max(3L, getOption("digits") - 3L)</code>.</dd>
<dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

Print feglm — print.feglm

<dl>

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


<dt>digits</dt>
<dd>unsigned integer indicating the number of decimal places. Default is 
<code>max(3L, getOption("digits") - 3L)</code>.</dd>


<dt>...</dt>
<dd>other arguments.</dd>

</dl>

print.feglm: Print `feglm`

Description

Usage

Arguments

See Also