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.
|Author||Giampiero Marra <firstname.lastname@example.org> and Rosalba Radice <email@example.com>|
|Maintainer||Giampiero Marra <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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