Package: lba 2.4.52
lba: Latent Budget Analysis for Compositional Data
Latent budget analysis is a method for the analysis of a two-way contingency table with an exploratory variable and a response variable. It is specially designed for compositional data.
Authors:
lba_2.4.52.tar.gz
lba_2.4.52.zip(r-4.7)lba_2.4.52.zip(r-4.6)lba_2.4.52.zip(r-4.5)
lba_2.4.52.tgz(r-4.6-any)lba_2.4.52.tgz(r-4.5-any)
lba_2.4.52.tar.gz(r-4.7-any)lba_2.4.52.tar.gz(r-4.6-any)
lba_2.4.52.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lba/json (API)
| # Install 'lba' in R: |
| install.packages('lba', repos = c('https://ivanalaman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ivanalaman/lba/issues
Last updated from:682b530060. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 296 | ||
| source / vignettes | OK | 220 | ||
| linux-release-x86_64 | OK | 204 | ||
| macos-release-arm64 | OK | 105 | ||
| macos-oldrel-arm64 | OK | 131 | ||
| windows-devel | OK | 89 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 95 | ||
| wasm-release | OK | 219 |
Exports:goodnessfitlbaplotcorrplotlba
Dependencies:alabamabase64encbslibcachemclidigestevaluatefastmapfontawesomefshighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrMASSmemoisemimenumDerivplotrixR6rappdirsrglrlangrmarkdownsassscatterplot3dtinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Goodness of Fit results for Latent Budget Analysis | goodnessfit goodnessfit.default goodnessfit.lba.ls goodnessfit.lba.ls.fe goodnessfit.lba.ls.logit goodnessfit.lba.mle goodnessfit.lba.mle.fe goodnessfit.lba.mle.logit |
| The Satisfaction with Housing Conditions Study | housing |
| Latent Budget Analysis (LBA) for Compositional Data | lba-package |
| Latent Budget Analysis (LBA) for Compositional Data | lba lba.default lba.formula lba.ls lba.ls.fe lba.ls.logit lba.matrix lba.mle lba.mle.fe lba.mle.logit lba.table |
| The Midtown Manhattan Study | MANHATAN |
| BEAUTY SALON MANAGEMENT | PerfMark |
| Plot lba objects using the correspondence analysis approach as suggested by Jelihovschi (2011). | plotcorr plotcorr.lba.1d plotcorr.lba.2d plotcorr.lba.3d |
| Plotlba objects using the approach suggested by van der Ark (1999). | plotlba plotlba.lba.1d plotlba.lba.2d |
| Environmental problems and Cancer | postmater |
| Pregnancy-Related Mortality in California | pregnancy |
| Print Method for goodnessfit objects. | print.goodnessfit.lba.ls print.goodnessfit.lba.ls.fe print.goodnessfit.lba.ls.logit print.goodnessfit.lba.mle print.goodnessfit.lba.mle.fe print.goodnessfit.lba.mle.logit |
| Print Method for 'lba' objects. | print.lba.ls print.lba.ls.fe print.lba.ls.logit print.lba.mle print.lba.mle.fe print.lba.mle.logit |
| Summary Method for goodnessfit objects. | summary.goodnessfit.lba.ls summary.goodnessfit.lba.ls.fe summary.goodnessfit.lba.ls.logit summary.goodnessfit.lba.mle summary.goodnessfit.lba.mle.fe summary.goodnessfit.lba.mle.logit |
| Summary Method for 'lba' objects. | summary.lba.ls summary.lba.ls.fe summary.lba.ls.logit summary.lba.mle summary.lba.mle.fe summary.lba.mle.logit |
| Voting Behaviour in Netherlands | votB |
