Other packages > Find by keyword >

PSW  

Propensity Score Weighting Methods for Dichotomous Treatments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PSW", "1.1-3")



Attach the package and use:
library("PSW")
Maintained by
Huzhang Mao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-22
Latest Update: 2018-01-19
Description:
Provides propensity score weighting methods to control for confounding in causal inference with dichotomous treatments and continuous/binary outcomes. It includes the following functional modules: (1) visualization of the propensity score distribution in both treatment groups with mirror histogram, (2) covariate balance diagnosis, (3) propensity score model specification test, (4) weighted estimation of treatment effect, and (5) augmented estimation of treatment effect with outcome regression. The weighting methods include the inverse probability weight (IPW) for estimating the average treatment effect (ATE), the IPW for average treatment effect of the treated (ATT), the IPW for the average treatment effect of the controls (ATC), the matching weight (MW), the overlap weight (OVERLAP), and the trapezoidal weight (TRAPEZOIDAL). Sandwich variance estimation is provided to adjust for the sampling variability of the estimated propensity score. These methods are discussed by Hirano et al (2003) , Lunceford and Davidian (2004) , Li and Greene (2013) , and Li et al (2016) .
How to cite:
Huzhang Mao (2017). PSW: Propensity Score Weighting Methods for Dichotomous Treatments. R package version 1.1-3, https://cran.r-project.org/web/packages/PSW. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 1.1-1 (2017-09-22 15:00), 1.1-2 (2017-10-09 20:36)
Other packages that cited PSW R package
View PSW citation profile
Other R packages that PSW depends, imports, suggests or enhances
Complete documentation for PSW
Functions, R codes and Examples using the PSW R package
Some associated functions: psw.aug . psw.balance . psw.mirror.hist . psw . psw.spec.test . psw.wt . test_data . 
Some associated R codes: psw-internal.R . psw_aug.R . psw_balance.R . psw_main.R . psw_mirror_hist.R . psw_spec_test.R . psw_wt.R . test_data.R .  Full PSW package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
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  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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