FPScausal
Functional Propensity Score for Causal Inference
Implements functional propensity score (FPS) weighting for causal inference with functional treatments. Weights are estimated by maximising the empirical likelihood subject to covariate-balancing constraints and solving the resulting dual problem via the BFGS quasi-Newton algorithm, following Ciardulli, S. and Fontana, N. (2026). The package supports scalar, binary, and functional outcomes, as well as functional covariates.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | FPScausal_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
rolling linux/noble R-4.5 | FPScausal_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
rolling source/ R- | FPScausal_0.1.0.tar.gz |
1.0 MiB |
0.1.0 |
latest linux/jammy R-4.5 | FPScausal_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
latest linux/noble R-4.5 | FPScausal_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
latest source/ R- | FPScausal_0.1.0.tar.gz |
1.0 MiB |
0.1.0 |
2026-04-23 source/ R- | FPScausal_0.1.0.tar.gz |
0 B |