DiSSMod: Fitting Sample Selection Models for Discrete Response Variables

Tools to fit sample selection models in case of discrete response variables, through a parametric formulation which represents a natural extension of the well-known Heckman selection model are provided in the package. The response variable can be of Bernoulli, Poisson or Negative Binomial type. The sample selection mechanism allows to choose among a Normal, Logistic or Gumbel distribution.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: sfsmisc, matrixcalc, psych, MASS
Published: 2019-04-15
Author: Sang Kyu Lee, Adelchi Azzalini, Hyoung-Moon Kim
Maintainer: Sang Kyu Lee <lsk0816 at gmail.com>
License: GPL-2
NeedsCompilation: no
Citation: DiSSMod citation info
CRAN checks: DiSSMod results


Reference manual: DiSSMod.pdf
Package source: DiSSMod_1.0.0.tar.gz
Windows binaries: r-devel: DiSSMod_1.0.0.zip, r-release: DiSSMod_1.0.0.zip, r-oldrel: DiSSMod_1.0.0.zip
macOS binaries: r-release (arm64): DiSSMod_1.0.0.tgz, r-release (x86_64): DiSSMod_1.0.0.tgz, r-oldrel: DiSSMod_1.0.0.tgz


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