cond_mean_cov_expr

Number of continuous variables/equations

neqt

Number of discrete variables/equations

<code>cond_mean_cov_expr</code> returns conditional mean and variance X|Y of conditional multivariate 
normal distribution . X is discrete variable, Y are continuous variables. 
No correlation between discrete eq.

internal

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.

Simona Jokubauskaite

Nonlinear Multivariate Models

Reinhard Hoessinger

Friedrich Leisch

cond_mean_cov_expr function

<code>cond_mean_cov_expr</code> returns conditional mean and variance X|Y of conditional multivariate 
normal distribution . X is discrete variable, Y are continuous variables. 
No correlation between discrete eq. — cond_mean_cov_expr

<code>cond_mean_cov_expr</code> returns conditional mean and variance X|Y of conditional multivariate 
normal distribution . X is discrete variable, Y are continuous variables. 
No correlation between discrete eq.

cond_mean_cov_expr: `cond_mean_cov_expr` returns conditional mean and variance X|Y of conditional multivariate normal distribution . X is discrete variable, Y are continuous variables. No correlation between discrete eq.

Description

Usage

Arguments

Value