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

<p>Takes out only data used in continuous estimation
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>data</code></td>
<td>
<p>full data matrix</p>
</td>
</tr>
<tr valign="top">
<td><code>cont_eq</code></td>
<td>
<p>cont. equations</p>
</td>
</tr>
<tr valign="top">
<td><code>par_c</code></td>
<td>
<p>parameter vector of cont. equations</p>
</td>
</tr>
</table>

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

extract_cont_data

Description

Usage

Arguments

nmm

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`data`	full data matrix
`cont_eq`	cont. equations
`par_c`	parameter vector of cont. equations