Estimates a subset of nonlinear multivariate models (NMM):
system of nonlinear regressions (SNR), logit, and a joint model of SNR and logit.
'nmm' uniquely accounts for correlations between the error terms from nonlinear regressions
and the probabilities from logit models.
It also enables a very flexible design of logit: alternative-specific indirect utilities,
individual-specific choice set and number of actual choices.

Nonlinear Multivariate Models

package-ubuntu-20.04-r-4.0.5#cran#nmm-0.9

bread.nmm(object, type = "normal", new_coef = NULL)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>Fitted <code>nmm</code> model.</p>
</td>
</tr>
<tr valign="top">
<td><code>type</code></td>
<td>
<p>Type of bread: "normal", "robust", "clustered".</p>
</td>
</tr>
<tr valign="top">
<td><code>new_coef</code></td>
<td>
<p>New coefficients.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#nmm-0.9#docs#bread.nmm

`object`	Fitted `nmm` model.
`type`	Type of bread: "normal", "robust", "clustered".
`new_coef`	New coefficients.

bread.nmm

Description

Usage

Arguments

nmm

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