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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-oldrel (arm64): DiSSMod_1.0.0.tgz, r-release (x86_64): DiSSMod_1.0.0.tgz, r-oldrel (x86_64): DiSSMod_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
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