cor.mlogit

cov.mlogit

Functions that extract the correlation structure of a mlogit object

regression

Maximum likelihood estimation of random utility discrete
choice models. The software is described in Croissant (2020)
<doi:10.18637/jss.v095.i11> and the underlying methods in
Train (2009) <doi:10.1017/CBO9780511805271>.

Yves Croissant

mlogit

Multinomial Logit Models

cor.mlogit function

<dl><dt>x</dt>
<dd>an `mlogit` object with random parameters and `correlation
= TRUE`.</dd></dl>

Arguments

Author

Correlation structure of the random parameters — cor.mlogit

<dl>

<dt>x</dt>
<dd>an `mlogit` object with random parameters and `correlation
= TRUE`.</dd>

</dl>

cor.mlogit: Correlation structure of the random parameters

Description

Usage

Value

Arguments

Author

Details