Other packages > Find by keyword >

sampleSelection  

Sample Selection Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sampleSelection", "1.2-14")



Attach the package and use:
library("sampleSelection")
Maintained by
Arne Henningsen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-02-27
Latest Update: 2020-12-15
Description:
Two-step and maximum likelihood estimation of Heckman-type sample selection models: standard sample selection models (Tobit-2), endogenous switching regression models (Tobit-5), sample selection models with binary dependent outcome variable, interval regression with sample selection (only ML estimation), and endogenous treatment effects models. These methods are described in the three vignettes that are included in this package and in econometric textbooks such as Greene (2011, Econometric Analysis, 7th edition, Pearson).
How to cite:
Arne Henningsen (2008). sampleSelection: Sample Selection Models. R package version 1.2-14, https://cran.r-project.org/web/packages/sampleSelection. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-10-04 17:40), 0.5-3 (2008-02-27 19:04), 0.5-5 (2008-06-05 23:19), 0.6-0 (2008-07-14 13:56), 0.6-1 (2008-07-18 09:38), 0.6-2 (2008-09-16 19:26), 0.6-4 (2009-01-26 09:53), 0.6-6 (2009-07-18 18:14), 0.6-8 (2009-10-16 16:05), 0.6-10 (2010-08-12 13:22), 0.6-12 (2011-11-13 10:12), 0.7-0 (2012-03-05 08:20), 0.7-2 (2012-08-14 15:59), 1.0-2 (2014-06-24 23:42), 1.0-4 (2015-11-03 11:59), 1.2-0 (2017-12-07 16:15), 1.2-2 (2019-02-19 13:30), 1.2-6 (2019-05-03 17:50), 1.2-10 (2020-11-04 15:40), 1.2-12 (2020-12-15 08:00), 1.2-14 (2026-01-20 09:50)
Other packages that cited sampleSelection R package
View sampleSelection citation profile
Other R packages that sampleSelection depends, imports, suggests or enhances
Complete documentation for sampleSelection
Functions, R codes and Examples using the sampleSelection R package
Some associated functions: Mroz87 . RandHIE . Smoke . binaryChoice . coef.selection . fitted.selection . heckit2fit . heckitVcov . invMillsRatio . linearPredictors . model.frame.binaryChoice . model.frame.selection . model.matrix.binaryChoice . model.matrix.selection . nlswork . predict.probit . predict.selection . probit-methods . residuals.probit . residuals.selection . sampleSelection-internal . selection-methods . selection . summary.probit . summary.selection . tobit2fit . vcov.selection . 
Some associated R codes: CB.R . binaryChoice.R . checkIMRCollinearity.R . checkModelType.R . coef.selection.R . coef.summary.selection.R . detectModelType.R . fitted.probit.R . fitted.selection.R . heckit.R . heckit2fit.R . heckit5fit.R . heckitTfit.R . heckitVcov.R . invMillsRatio.R . lambda.R . linearPredictors.R . logLik.probit.R . logLik.selection.R . model.frame.binaryChoice.R . model.frame.selection.R . model.matrix.binaryChoice.R . model.matrix.selection.R . nObs.R . predict.probit.R . predict.selection.R . print.coef.selection.R . print.probit.R . print.selection.R . print.summary.probit.R . probit.R . residuals.probit.R . residuals.selection.R . selection.R . selectionVariableName.R . summary.probit.R . summary.selection.R . tobit2Bfit.R . tobit2Intfit.R . tobit2fit.R . tobit5fit.R . tobitTfit.R . tobitType.R . treatReg.R . vcov.selection.R .  Full sampleSelection package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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