Package: pstest 0.1.3.900

pstest: Specification Tests for Parametric Propensity Score Models

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) <doi:10.1016/j.jeconom.2019.02.002>.

Authors:Pedro H. C. Sant'Anna <[email protected]>, Xiaojun Song <[email protected]>

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pstest/json (API)

# Install 'pstest' in R:
install.packages('pstest', repos = c('https://pedrohcgs.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pedrohcgs/pstest/issues

On CRAN:

Conda:

3.81 score 13 stars 2 scripts 196 downloads 1 exports 7 dependencies

Last updated 3 years agofrom:0c09331a83. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-winOKFeb 17 2025
R-4.5-macOKFeb 17 2025
R-4.5-linuxOKFeb 17 2025
R-4.4-winOKFeb 17 2025
R-4.4-macOKFeb 17 2025
R-4.3-winOKFeb 17 2025
R-4.3-macOKFeb 17 2025

Exports:pstest

Dependencies:FormulaglmxlatticelmtestMASSsandwichzoo