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 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:09), 1.0.1 (2022-10-04 12:10), 2.0.0 (2025-06-02 01:20), 2.0.1 (2025-06-02 14:50)
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

data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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