Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.

Generalised Joint Regression Modelling

package-ubuntu-20.04-r-4.0.5#cran#GJRM-0.2-4

<p>This and other similar internal functions evaluate the margins' derivatives needed in the likelihood function for the 
binary, discrete and continuous cases.</p>

<p>Maintainer: Giampiero Marra <a href="mailto:giampiero.marra@ucl.ac.uk">giampiero.marra@ucl.ac.uk</a>
</p>

package-ubuntu-20.04-r-4.0.5#cran#GJRM-0.2-4#docs#distrHs

distrHs

Description

Author(s)

GJRM

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