model.matrix.dfidx_mlogit

specific stuff compared to the model.matrix.dfidx method which
simply applies the Formula method

attribute

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

model.matrix.dfidx_mlogit function

<dl><dt>object</dt>
<dd>the object</dd>
<dt>..., lhs, rhs, dot</dt>
<dd>see the `Formula` method</dd></dl>

Arguments

Author

Compute the model matrix for RUM — model.matrix.dfidx_mlogit

<dl>

<dt>object</dt>
<dd>the object</dd>


<dt>..., lhs, rhs, dot</dt>
<dd>see the `Formula` method</dd>

</dl>

model.matrix.dfidx_mlogit: Compute the model matrix for RUM

Description

Usage

Arguments

Author