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:Enio G. Jelihovschi <[email protected]> and Ivan Bezerra Allaman <[email protected]>

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

Datasets:
  • housing - The Satisfaction with Housing Conditions Study
  • MANHATAN - The Midtown Manhattan Study
  • PerfMark - BEAUTY SALON MANAGEMENT
  • postmater - Environmental problems and Cancer
  • pregnancy - Pregnancy-Related Mortality in California
  • votB - Voting Behaviour in Netherlands

On CRAN:

Conda:

2.70 score 1 stars 10 scripts 178 downloads 4 exports 33 dependencies

Last updated from:682b530060. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK296
source / vignettesOK220
linux-release-x86_64OK204
macos-release-arm64OK105
macos-oldrel-arm64OK131
windows-develOK89
windows-releaseOK92
windows-oldrelOK95
wasm-releaseOK219

Exports:goodnessfitlbaplotcorrplotlba

Dependencies:alabamabase64encbslibcachemclidigestevaluatefastmapfontawesomefshighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrMASSmemoisemimenumDerivplotrixR6rappdirsrglrlangrmarkdownsassscatterplot3dtinytexxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Goodness of Fit results for Latent Budget Analysisgoodnessfit 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 Studyhousing
Latent Budget Analysis (LBA) for Compositional Datalba-package
Latent Budget Analysis (LBA) for Compositional Datalba 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 StudyMANHATAN
BEAUTY SALON MANAGEMENTPerfMark
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 Cancerpostmater
Pregnancy-Related Mortality in Californiapregnancy
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 NetherlandsvotB