The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

HOIF: Higher-Order Influence Function Estimators for the Average Treatment Effect

Implements Higher-Order Influence Function (HOIF) estimators of the Average Treatment Effect (ATE), following Robins et al. (2008) <doi:10.1214/193940307000000527>, Liu et al. (2017) <doi:10.48550/arXiv.1705.07577> and Liu and Li (2023) <doi:10.48550/arXiv.2302.08097>. Estimators of any order are supported, with optional covariate basis transformations (B-splines, Fourier) and optional K-fold sample splitting (cross-fitting) for improved finite-sample performance. The core higher-order U-statistics are computed exactly via the 'ustats' package, an R interface to the 'Python' package 'u-stats'; the underlying algorithm and its computational complexity are analyzed in Chen, Zhang and Liu (2025) <doi:10.48550/arXiv.2508.12627>. A pure R implementation (up to order 6) is also provided as a fallback that does not require 'Python'.

Version: 0.2.0
Depends: R (≥ 4.0.0)
Imports: splines, corpcor, SMUT, ustats (≥ 0.1.5)
Suggests: MASS, testthat (≥ 3.0.0), reticulate, knitr, rmarkdown
Published: 2026-06-24
DOI: 10.32614/CRAN.package.HOIF (may not be active yet)
Author: Xingyu Chen [aut, cre], Lin Liu [aut]
Maintainer: Xingyu Chen <xingyuchen0714 at sjtu.edu.cn>
BugReports: https://github.com/cxy0714/HOIF/issues
License: MIT + file LICENSE
URL: https://cxy0714.github.io/HOIF/, https://github.com/cxy0714/HOIF
NeedsCompilation: no
SystemRequirements: For the default Python backend: Python (>= 3.11) with the 'u-stats', 'numpy' and 'torch' packages (provisioned automatically on first use via 'reticulate', or via ustats::setup_ustats()). Not needed when pure_R_code = TRUE.
Language: en-US
Materials: NEWS
CRAN checks: HOIF results

Documentation:

Reference manual: HOIF.html , HOIF.pdf
Vignettes: Introduction to HOIF: Higher-Order Influence Function Estimators for the ATE (source, R code)

Downloads:

Package source: HOIF_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: HOIF_0.2.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): HOIF_0.2.0.tgz, r-oldrel (arm64): HOIF_0.2.0.tgz, r-release (x86_64): HOIF_0.2.0.tgz, r-oldrel (x86_64): HOIF_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=HOIF to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.