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
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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'))

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:

4 exports 1 stars 0.94 score 34 dependencies 10 scripts 313 downloads

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

Target	Result	Date
Doc / Vignettes	OK	Aug 25 2024
R-4.5-win	OK	Aug 25 2024
R-4.5-linux	OK	Aug 25 2024
R-4.4-win	OK	Aug 25 2024
R-4.4-mac	OK	Aug 25 2024
R-4.3-win	OK	Aug 25 2024
R-4.3-mac	OK	Aug 25 2024

Exports:goodnessfit lba plotcorr plotlba

Dependencies:alabama base64enc bslib cachem cli digest evaluate fastmap fontawesome fs glue highr htmltools htmlwidgets jquerylib jsonlite knitr lifecycle magrittr MASS memoise mime numDeriv plotrix R6 rappdirs rgl rlang rmarkdown sass scatterplot3d tinytex xfun yaml

Citation

Development and contributors

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