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ssmodels  

Sample Selection Models
View on CRAN: Click here


Download and install ssmodels package within the R console
Install from CRAN:
install.packages("ssmodels")

Install from Github:
library("remotes")
install_github("cran/ssmodels")

Install by package version:
library("remotes")
install_version("ssmodels", "1.0.1")



Attach the package and use:
library("ssmodels")
Maintained by
Fernando de Souza Bastos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-04
Latest Update: 2022-10-04
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.
How to cite:
Fernando de Souza Bastos (2022). ssmodels: Sample Selection Models. R package version 1.0.1, https://cran.r-project.org/web/packages/ssmodels. Accessed 21 Nov. 2024.
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