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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PSPI" in publications use:'
type: software
license: GPL-2.0-only
title: 'PSPI: Propensity Score Predictive Inference for Generalizability'
version: '1.2'
doi: 10.32614/CRAN.package.PSPI
abstract: 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.
authors:
- family-names: Zou
  given-names: Jungang
  email: jungang.zou@gmail.com
- family-names: Chen
  given-names: Qixuan
- family-names: Schwartz
  given-names: Joseph
- family-names: Moise
  given-names: Nathalie
- family-names: Little
  given-names: Roderick
repository: https://zjg540066169.r-universe.dev
commit: 39bac0d7fc6b6bc0d95b647eb8110add02078e5b
date-released: '2025-11-15'
contact:
- family-names: Zou
  given-names: Jungang
  email: jungang.zou@gmail.com