Other packages > Find by keyword >

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", "2.0.1")



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: 2025-06-02
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 2.0.1, https://cran.r-project.org/web/packages/ssmodels. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.1 (2022-10-04 12:10), 2.0.0 (2025-06-02 01:20)
Other packages that cited ssmodels R package
View ssmodels citation profile
Other R packages that ssmodels depends, imports, suggests or enhances
Complete documentation for ssmodels
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA