Package: eiCR 0.0.1
Jose M. Pavía
eiCR: Ecological Inference for RxC Tables using the Cressie-Read Power Divergence
Estimates R by C vote transfer matrices (ecological contingency tables) from aggregate data by minimizing the Cressie-Read power measure. Acknowledgements: The authors wish to thank Consellería de Educación, Cultura y Universidades, Generalitat Valenciana (grant CIAICO/2023/031) for supporting this research.
Authors:
eiCR_0.0.1.tar.gz
eiCR_0.0.1.zip(r-4.7-any)eiCR_0.0.1.zip(r-4.6-any)
eiCR_0.0.1.tar.gz(r-4.7-any)eiCR_0.0.1.tar.gz(r-4.6-any)
eiCR_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
eiCR/json (API)
| # Install 'eiCR' in R: |
| install.packages('eiCR', 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:6e36afa381. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 146 | ||
| source / vignettes | OK | 169 | ||
| linux-release | OK | 125 | ||
| windows-devel | OK | 177 | ||
| windows-release | OK | 193 | ||
| wasm-release | OK | 74 |
Exports:ei_CR
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Ecological Inference for RxC Tables using the Cressie-Read power divergence | ei_CR |
| Graphical representation of a RxC ecological inference (vote transfer) matrix | plot.ei_CR |
| Print a summary of an output of the ei_CR function | print.ei_CR |
| Print a summary of a summary.ei_CR object | print.summary.ei_CR |
| Summarize a ei_CR output object | summary.ei_CR |