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GJRM

Generalised Joint Regression Modelling

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.

Functions (90)

GJRM

Generalised Joint Regression Modelling

v0.2-4
GPL (>= 2)
Authors
Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <rosalba.radice@city.ac.uk>
Initial release

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