PSPI
Propensity Score Predictive Inference for Generalizability
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling linux/jammy R-4.5 | PSPI_1.2.tar.gz |
218.9 KiB |
1.2 |
rolling linux/noble R-4.5 | PSPI_1.2.tar.gz |
222.7 KiB |
1.2 |
rolling source/ R- | PSPI_1.2.tar.gz |
56.1 KiB |
1.2 |
latest linux/jammy R-4.5 | PSPI_1.2.tar.gz |
218.9 KiB |
1.2 |
latest linux/noble R-4.5 | PSPI_1.2.tar.gz |
222.7 KiB |
1.2 |
latest source/ R- | PSPI_1.2.tar.gz |
56.1 KiB |
1.2 |
2026-04-26 source/ R- | PSPI_1.2.tar.gz |
56.1 KiB |
1.2 |
2026-04-23 source/ R- | PSPI_1.2.tar.gz |
56.1 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | PSPI_1.2.zip |
539.1 KiB |