Package: ipf 0.0.1


Christopher T. Kenny
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:
ipf_0.0.1.tar.gz
ipf_0.0.1.tar.gz(r-4.7-arm64)ipf_0.0.1.tar.gz(r-4.7-x86_64)ipf_0.0.1.tar.gz(r-4.6-arm64)ipf_0.0.1.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ipf/json (API)
| # Install 'ipf' in R: |
| install.packages('ipf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Pkgdown/docs site:https://christophertkenny.com
- anes24 - ANES 2024 Time Series Study
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7f2571e0d7. Checks:5 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 181 | ||
| linux-devel-x86_64 | OK | 160 | ||
| source / vignettes | OK | 220 | ||
| linux-release-arm64 | OK | 165 | ||
| linux-release-x86_64 | OK | 156 | ||
| wasm-release | FAIL | 161 |
Exports:augmentdesign_effectfind_discrepant_varsglanceraketidyweight_assess
Dependencies:cligenericsgluelifecyclemagrittrpillarpkgconfigrlangtibbleutf8vctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ANES 2024 Time Series Study (subset) | anes24 |
| Augment data with raked weights | augment.ipf_rake |
| Compute design effect and effective sample size | design_effect |
| Find discrepant variables and their aggregate discrepancy scores | find_discrepant_vars |
| Glance at an ipf_rake object | glance.ipf_rake |
| Print an ipf_rake object | print.ipf_rake |
| Iterative proportional fitting (raking) | rake |
| Summarize an ipf_rake object | summary.ipf_rake |
| Tidy an ipf_rake object | tidy.ipf_rake |
| Assess weight quality with diagnostic tables | weight_assess |