R Observatory: Metrics for FPScausal version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FPScausal

0.1.0

Functional Propensity Score for Causal Inference

0packages depend

77downloads / year

79.5%test coverage

12/12checks pass

Overview

About

Maintained by Nicole FontanaFirst published 2026-08-091 releasesCRAN page ↗

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.

Install

R (CRAN)Fedora (COPR)openSUSE (OBS)

install.packages("FPScausal", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FPScausal

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-FPScausal

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

12OK

Slowest check: 2.3 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.14

79.5%

Coverage · measured lines

100%

Documentation · exports

9

Dependencies · direct

Check history

OK2026-08-10
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 339 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 33%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

77

CRAN downloads in the past year

Rank #24,755 · ~0/day · ~6/mo

FPScausal Releases R versions

Daily download trend is not available in this view yet.

7730 days

7790 days

771 year

Compare downloads with other packages →

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (9)

fda ggplot2 tidyr MASS (>= 7.3-0)wCorr patchwork progressstatsutils

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Maintainer (1)

Nicole Fontana

Author, Maintainer

Authors (2)

Nicole Fontana

Author, Maintainer

Simone Ciardulli

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-08-09 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-09
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FPScausal")

Format

Fontana, N., & Ciardulli, S. (2026). FPScausal: Functional Propensity Score for Causal Inference (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.FPScausal

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FPScausal version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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