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]>

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lba.pdf |lba.html✨
lba/json (API)

# Install 'lba' in R:
install.packages('lba', repos = c('https://ivanalaman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ivanalaman/lba/issues

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

On CRAN:

2.70 score 1 stars 10 scripts 300 downloads 4 exports 34 dependencies

Last updated 1 years agofrom:682b530060. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winOKNov 23 2024
R-4.5-linuxOKNov 23 2024
R-4.4-winOKNov 23 2024
R-4.4-macOKNov 23 2024
R-4.3-winOKNov 23 2024
R-4.3-macOKNov 23 2024

Exports:goodnessfitlbaplotcorrplotlba

Dependencies:alabamabase64encbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrMASSmemoisemimenumDerivplotrixR6rappdirsrglrlangrmarkdownsassscatterplot3dtinytexxfunyaml

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