Package: ipf 0.0.0.9000

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.

Authors:Christopher T. Kenny [aut, cre]

ipf_0.0.0.9000.tar.gz
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ipf_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ipf/json (API)

# Install 'ipf' in R:
install.packages('ipf', repos = c('https://christopherkenny.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/christopherkenny/ipf/issues

Pkgdown/docs site:https://christophertkenny.com

Datasets:
  • anes24 - ANES 2024 Time Series Study

On CRAN:

Conda:

rustcargo

2.30 score 4 scripts 7 exports 11 dependencies

Last updated from:739b8b6413. Checks:10 WARNING, 1 ERROR, 1 FAIL, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING142
linux-devel-x86_64WARNING148
source / vignettesERROR220
linux-release-arm64WARNING145
linux-release-x86_64WARNING152
macos-release-arm64WARNING97
macos-release-x86_64WARNING180
macos-oldrel-arm64WARNING113
macos-oldrel-x86_64FAIL121
windows-develWARNING121
windows-releaseWARNING149
windows-oldrelWARNING134
wasm-releaseOK148

Exports:augmentdesign_effectfind_discrepant_varsglanceraketidyweight_assess

Dependencies:cligenericsgluelifecyclemagrittrpillarpkgconfigrlangtibbleutf8vctrs