Fitting Sample Selection Models for Discrete Response Variables R package DiSSMod version 1.0.0 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. Software Depends: R (>= 2.10) Imports: sfsmisc, matrixcalc, psych, MASS Sang Kyu Lee <lsk0816@gmail.com> Comprehensive R Archive Network (CRAN) Sang Kyu Lee <lsk0816@gmail.com>, Adelchi Azzalini <adelchi.azzalini@unipd.it>, Hyoung-Moon Kim <hmk966a@gmail.com> GPL-2 2019-04-15 application/tgz https://CRAN.R-project.org/package=DiSSMod doi:10.32614/CRAN.package.DiSSMod