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pstest
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]
[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. Accessed 26 Aug. 2026.
Previous versions and publish date:
Other packages that cited pstest R package
View pstest citation profile
Other R packages that pstest depends,
imports, suggests or enhances
Complete documentation for pstest
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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