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cff-version: 1.2.0
message: 'To cite package "FPScausal" in publications use:'
type: software
license: MIT
title: 'FPScausal: Functional Propensity Score for Causal Inference'
version: 0.1.1
doi: 10.32614/CRAN.package.FPScausal
abstract: Implements functional propensity score (FPS) weighting for causal inference
  with functional treatments. The method estimates weights that balance observed confounders
  by removing their dependence on the functional treatment and uses a dual formulation
  of the weighting problem for efficient unconstrained optimization. The framework
  supports scalar, binary, and functional outcomes, as well as functional covariates,
  and can be used to estimate marginal causal effects in settings with time-varying
  exposures. The methodology follows Ciardulli, S., Fontana, N., Vantini, S., and
  Ieva, F. (2026) "Generalized propensity score weighting for functional causal inference
  framework" <https://doi.org/10.48550/arXiv.2608.03200>.
authors:
- family-names: Fontana
  given-names: Nicole
  email: nicole.fontana@polimi.it
- family-names: Ciardulli
  given-names: Simone
  email: simone.ciardulli@mail.polimi.it
repository: https://cran.r-universe.dev
commit: 2ae0642a6d7955d1108f2a158ae922157388f398
date-released: '2026-08-23'
contact:
- family-names: Fontana
  given-names: Nicole
  email: nicole.fontana@polimi.it