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ipf: Iterative Proportional Fitting

Fast raking for survey weighting. The computational core is written in Rust for speed. Supports multiple raking variables, automatic variable selection, weight bounding, and comprehensive diagnostics.

Version: 0.0.1
Depends: R (≥ 4.2)
Imports: cli, generics, tibble
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), withr
Published: 2026-07-09
DOI: 10.32614/CRAN.package.ipf
Author: Christopher T. Kenny ORCID iD [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny at proton.me>
License: MIT + file LICENSE
URL: https://christophertkenny.com/ipf/
NeedsCompilation: yes
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65
Materials: README
CRAN checks: ipf results [issues need fixing before 2026-07-23]

Documentation:

Reference manual: ipf.html , ipf.pdf
Vignettes: Getting Started with ipf (source, R code)

Downloads:

Package source: ipf_0.0.1.tar.gz
Windows binaries: r-devel: ipf_0.0.1.zip, r-release: ipf_0.0.1.zip, r-oldrel: ipf_0.0.1.zip
macOS binaries: r-release (arm64): ipf_0.0.1.tgz, r-oldrel (arm64): ipf_0.0.1.tgz, r-release (x86_64): ipf_0.0.1.tgz, r-oldrel (x86_64): ipf_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ipf 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.