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.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | fda (≥ 6.0.0), ggplot2 (≥ 3.4.0), tidyr (≥ 1.2.0), MASS (≥ 7.3-0), wCorr, patchwork (≥ 1.1.0), progress (≥ 1.2.0), stats, utils |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-08-09 |
| DOI: | 10.32614/CRAN.package.FPScausal |
| Author: | Nicole Fontana [aut, cre], Simone Ciardulli [aut] |
| Maintainer: | Nicole Fontana <nicole.fontana at polimi.it> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | FPScausal results |
| Reference manual: | FPScausal.html , FPScausal.pdf |
| Vignettes: |
FPScausal: Functional propensity score weighting for causal inference with functional treatments, covariates, and outcomes (source, R code) |
| Package source: | FPScausal_0.1.0.tar.gz |
| Windows binaries: | r-devel: FPScausal_0.1.0.zip, r-release: FPScausal_0.1.0.zip, r-oldrel: FPScausal_0.1.0.zip |
| macOS binaries: | r-release (arm64): FPScausal_0.1.0.tgz, r-oldrel (arm64): FPScausal_0.1.0.tgz, r-release (x86_64): FPScausal_0.1.0.tgz, r-oldrel (x86_64): FPScausal_0.1.0.tgz |
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