Package: DiSSMod 1.0.0

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.

Authors:Sang Kyu Lee <[email protected]>, Adelchi Azzalini <[email protected]>, Hyoung-Moon Kim <[email protected]>

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DiSSMod.pdf |DiSSMod.html✨
DiSSMod/json (API)

# Install 'DiSSMod' in R:
install.packages('DiSSMod', repos = c('https://sangkyustat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • CreditMDR - Credit cards derogatory reports data
  • DoctorRWM - German doctor first visits data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.00 score 8 dependencies 159 downloads

Last updated 5 years agofrom:e5d62da180. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:DiSSMod

Dependencies:GPArotationlatticeMASSmatrixcalcmnormtnlmepsychsfsmisc