Package: ssmodels
Title: Sample Selection Models
Version: 2.0.1
Language: en-US
Authors@R: c(
  person( given = "Fernando", family = "de Souza Bastos", role = c( "aut", "cre" ),
          email = "fernando.bastos@ufv.br" ),
  person( given = "Wagner", family = "Barreto de Souza", role = "aut" ))
Author: Fernando de Souza Bastos [aut, cre], Wagner Barreto de Souza
        [aut]
Maintainer: Fernando de Souza Bastos <fernando.bastos@ufv.br>
Depends: R (>= 3.6.0)
Imports: sn (>= 2.1.0), numDeriv (>= 2016.8-1.1), pracma (>= 2.3.8),
        miscTools (>= 0.6-26), Rdpack (>= 2.4)
Suggests: knitr (>= 1.24), testthat (>= 3.0.0), maxLik (>= 1.3-6),
        mvtnorm (>= 1.0-11), sampleSelection (>= 1.2-6), kableExtra (>=
        1.1.0), kfigr (>= 1.2), ggplot2 (>= 3.2.1), gridExtra (>= 2.3)
Description: 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.
        This package extends and complements existing R packages such
        as 'sampleSelection' (Toomet and Henningsen, 2008) and 'ssmrob'
        (Zhelonkin et al., 2016), providing additional robust and
        flexible sample selection models.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.3.2
RdMacros: Rdpack
BugReports: https://github.com/fsbmat-ufv/ssmodels/issues
Config/testthat/edition: 3
URL: https://fsbmat-ufv.github.io/ssmodels/
Repository: https://fsbmat-ufv.r-universe.dev
Date/Publication: 2026-09-28 03:24:11 UTC
RemoteUrl: https://github.com/fsbmat-ufv/ssmodels
RemoteRef: HEAD
RemoteSha: 9943f4b19d61cab98af7a002f498f55be76cbf13
NeedsCompilation: no
Packaged: 2026-09-28 04:01:53 UTC; root
