Package: WIPF 0.1.0-4
Jose M. Pavía
WIPF: Weighted Iterative Proportional Fitting
Implementation of the weighted iterative proportional fitting (WIPF) procedure for updating/adjusting a N-dimensional array given a weight structure and some target marginals. Acknowledgements: The author wish to thank Conselleria de Educación, Cultura, Universidades y Empleo (grant CIAICO/2023/031), Ministerio de Ciencia, Innovación y Universidades (grant PID2021-128228NB-I00) and Fundación Mapfre (grant 'Modelización espacial e intra-anual de la mortalidad en España. Una herramienta automática para el cálculo de productos de vida') for supporting this research.
Authors:
WIPF_0.1.0-4.tar.gz
WIPF_0.1.0-4.tar.gz(r-4.7-any)WIPF_0.1.0-4.tar.gz(r-4.6-any)
WIPF_0.1.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WIPF/json (API)
NEWS
| # Install 'WIPF' in R: |
| install.packages('WIPF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:80c97b45d9. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 173 | ||
| source / vignettes | OK | 132 | ||
| linux-release-x86_64 | OK | 101 | ||
| wasm-release | OK | 82 |
Exports:df2arrayWIPFWIPF1WIPF2WIPF3
Dependencies:
