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pstest  

Specification Tests for Parametric Propensity Score Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pstest", "0.1.3.900")



Attach the package and use:
library("pstest")
Maintained by
Pedro H. C. Sant'Anna
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-21
Latest Update: 2019-08-26
Description:
The propensity score is one of the most widely used tools in studying the causal effect of a treatment, intervention, or policy. Given that the propensity score is usually unknown, it has to be estimated, implying that the reliability of many treatment effect estimators depends on the correct specification of the (parametric) propensity score. This package implements the data-driven nonparametric diagnostic tools for detecting propensity score misspecification proposed by Sant'Anna and Song (2019) .
How to cite:
Pedro H. C. Sant'Anna (2016). pstest: Specification Tests for Parametric Propensity Score Models. R package version 0.1.3.900, https://cran.r-project.org/web/packages/pstest
Previous versions and publish date:
0.1.1 (2016-11-21 12:01)
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Other R packages that pstest depends, imports, suggests or enhances
Functions, R codes and Examples using the pstest R package
Some associated functions: pstest-package . pstest . 
Some associated R codes: gather.R . print.matrix1.R . print.pstest.R . pstest.R . pstest.package.R . summary.pstest.R .  Full pstest package functions and examples
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