Package: Gifi 0.4-0
Patrick Mair
Gifi: Multivariate Analysis with Optimal Scaling
Implements categorical principal component analysis ('PRINCALS'), multiple correspondence analysis ('HOMALS'), monotone regression analysis ('MORALS'). It replaces the 'homals' package.
Authors:
Gifi_0.4-0.tar.gz
Gifi_0.4-0.zip(r-4.5)Gifi_0.4-0.zip(r-4.4)Gifi_0.4-0.zip(r-4.3)
Gifi_0.4-0.tgz(r-4.4-x86_64)Gifi_0.4-0.tgz(r-4.4-arm64)Gifi_0.4-0.tgz(r-4.3-x86_64)Gifi_0.4-0.tgz(r-4.3-arm64)
Gifi_0.4-0.tar.gz(r-4.5-noble)Gifi_0.4-0.tar.gz(r-4.4-noble)
Gifi_0.4-0.tgz(r-4.4-emscripten)Gifi_0.4-0.tgz(r-4.3-emscripten)
Gifi.pdf |Gifi.html✨
Gifi/json (API)
NEWS
| # Install 'Gifi' in R: |
| install.packages('Gifi', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/psychor
Last updated 10 days agofrom:869a9b1810. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 11 2024 |
| R-4.5-win-x86_64 | OK | Dec 11 2024 |
| R-4.5-linux-x86_64 | OK | Dec 11 2024 |
| R-4.4-win-x86_64 | OK | Dec 11 2024 |
| R-4.4-mac-x86_64 | OK | Dec 11 2024 |
| R-4.4-mac-aarch64 | OK | Dec 11 2024 |
| R-4.3-win-x86_64 | OK | Dec 11 2024 |
| R-4.3-mac-x86_64 | OK | Dec 11 2024 |
| R-4.3-mac-aarch64 | OK | Dec 11 2024 |
Exports:cvhomalsknotsGifimakeNumericmoralsprincals
Dependencies:colorspace
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ABC Customer Satisfaction | ABC |
| Cross-validation for Morals fit | cv cv.morals |
| GALO dataset | galo |
| Guttman-Bell dataset | gubell |
| Hartigan's Hardware | hartigan |
| Multiple Correspondence Analysis (HOMALS). | homals |
| House | house |
| Utility function for Gifi knot specifications. | knotsGifi |
| Convert a data frame into a numeric matrix. | makeNumeric |
| Mammals dataset | mammals |
| Multiple Regression (MORALS). | morals |
| Neumann dataset | neumann |
| Plot Methods for Homals | plot.homals |
| Plot Methods for Morals | plot.morals |
| Plot Methods for Princals | plot.princals |
| Categorical principal component analysis (PRINCALS). | princals |
| Roskam dataset | roskam |
| Senate votes 2007 | senate07 |
| Sleeping Bags | sleeping |
| Small dataset | small |
