Package: DiSSMod Type: Package Title: Fitting Sample Selection Models for Discrete Response Variables Version: 1.0.0 Date: 2019-04-15 Author: Sang Kyu Lee , Adelchi Azzalini , Hyoung-Moon Kim Maintainer: Sang Kyu Lee Description: 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. Depends: R (>= 2.10) Imports: sfsmisc, matrixcalc, psych, MASS License: GPL-2 Encoding: UTF-8 LazyData: true RoxygenNote: 6.1.1 NeedsCompilation: no Packaged: 2026-06-23 09:36:10 UTC; root Repository: https://sangkyustat.r-universe.dev Date/Publication: 2019-04-15 09:42:40 UTC RemoteUrl: https://github.com/cran/DiSSMod RemoteRef: HEAD RemoteSha: e5d62da180e6b3da16e201788d9bef1b15d6952b