Package: ssmodels 1.0.1

ssmodels: Sample Selection Models

In order to facilitate the adjustment of the sample selection models existing in the literature, we created the 'ssmodels' package. Our package allows the adjustment of the classic Heckman model (Heckman (1976), Heckman (1979) <doi:10.2307/1912352>), and the estimation of the parameters of this model via the maximum likelihood method and two-step method, in addition to the adjustment of the Heckman-t models, introduced in the literature by Marchenko and Genton (2012) <doi:10.1080/01621459.2012.656011> and the Heckman-Skew model introduced in the literature by Ogundimu and Hutton (2016) <doi:10.1111/sjos.12171>. We also implemented functions to adjust the generalized version of the Heckman model, introduced by Bastos, Barreto-Souza, and Genton (2021) <doi:10.5705/ss.202021.0068>, that allows the inclusion of covariables to the dispersion and correlation parameters and a function to adjust the Heckman-BS model introduced by Bastos and Barreto-Souza (2020) <doi:10.1080/02664763.2020.1780570> that uses the Birnbaum-Saunders distribution as a joint distribution of the selection and primary regression variables.

Authors:Fernando de Souza Bastos [aut, cre], Wagner Barreto de Souza [aut]

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ssmodels.pdf |ssmodels.html
ssmodels/json (API)
NEWS

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

Bug tracker:https://github.com/fsbmat-ufv/ssmodels/issues

Datasets:
  • MEPS2001 - Medical Expenditure Panel Survey
  • Mroz87 - U.S. Women's Labor Force Participation
  • PSID2 - Panel Study of Income Dynamics
  • RandHIE - RAND Health Insurance Experiment
  • nhanes - US National Health and Nutrition Examination Study

On CRAN:

Conda:

4.00 score 1 stars 5 scripts 154 downloads 14 exports 15 dependencies

Last updated 2 years agofrom:f876017c28. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-winOKMar 26 2025
R-4.5-macOKMar 26 2025
R-4.5-linuxOKMar 26 2025
R-4.4-winOKMar 26 2025
R-4.4-macOKMar 26 2025
R-4.4-linuxOKMar 26 2025
R-4.3-winOKMar 26 2025
R-4.3-macOKMar 26 2025

Exports:HCinitialHeckmanBSHeckmanCLHeckmanGeHeckmanSKHeckmantSIMRstep2summary.HeckmanBSsummary.HeckmanCLsummary.HeckmanGesummary.HeckmanSKsummary.HeckmantStwostep

Dependencies:digestlatticeMASSMatrixMatrixModelsmiscToolsmnormtnumDerivpracmaquantregrbibutilsRdpacksnSparseMsurvival

ssmodels: A package for fit the sample selection models

Rendered fromvignette.Rmdusingknitr::rmarkdownon Mar 26 2025.

Last update: 2022-10-27
Started: 2020-12-17