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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "HOIF" in publications use:'
type: software
license: MIT
title: 'HOIF: Higher-Order Influence Function Estimators for the Average Treatment
  Effect'
version: 0.2.0
abstract: Implements Higher-Order Influence Function (HOIF) estimators of the Average
  Treatment Effect (ATE), following Robins et al. (2008) <https://doi.org/10.1214/193940307000000527>,
  Liu et al. (2017) <https://doi.org/10.48550/arXiv.1705.07577> and Liu and Li (2023)
  <https://doi.org/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) <https://doi.org/10.48550/arXiv.2508.12627>.
  A pure R implementation (up to order 6) is also provided as a fallback that does
  not require 'Python'.
authors:
- family-names: Chen
  given-names: Xingyu
  email: xingyuchen0714@sjtu.edu.cn
- family-names: Liu
  given-names: Lin
  email: linliu@sjtu.edu.cn
repository: https://cran.r-universe.dev
repository-code: https://github.com/cxy0714/HOIF
commit: c28d25f48384cf893a0653da1cca0bd86fb67eb3
url: https://cxy0714.github.io/HOIF/
date-released: '2026-06-24'
contact:
- family-names: Chen
  given-names: Xingyu
  email: xingyuchen0714@sjtu.edu.cn