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PSPI  

Propensity Score Predictive Inference for Generalizability
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PSPI", "1.2")



Attach the package and use:
library("PSPI")
Maintained by
Jungang Zou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-02
Latest Update: 2025-12-02
Description:
Provides a suite of Propensity Score Predictive Inference (PSPI) methods to generalize treatment effects in trials to target populations. The package includes an existing model Bayesian Causal Forest (BCF) and four PSPI models (BCF-PS, FullBART, SplineBART, DSplineBART). These methods leverage Bayesian Additive Regression Trees (BART) to adjust for high-dimensional covariates and nonlinear associations, while SplineBART and DSplineBART further use propensity score based splines to address covariate shift between trial data and target population.
How to cite:
Jungang Zou (2025). PSPI: Propensity Score Predictive Inference for Generalizability. R package version 1.2, https://cran.r-project.org/web/packages/PSPI. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-10-01 23:40), 1.1 (2025-12-01 14:50), 1.2 (2025-12-02 08:50)
Other packages that cited PSPI R package
View PSPI citation profile
Other R packages that PSPI depends, imports, suggests or enhances
Complete documentation for PSPI
Functions, R codes and Examples using the PSPI R package
Full PSPI package functions and examples
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