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lba  

Latent Budget Analysis for Compositional Data
View on CRAN: Click here


Download and install lba package within the R console
Install from CRAN:
install.packages("lba")

Install from Github:
library("remotes")
install_github("cran/lba")

Install by package version:
library("remotes")
install_version("lba", "2.4.52")



Attach the package and use:
library("lba")
Maintained by
Ivan Bezerra Allaman
[Scholar Profile | Author Map]
First Published: 2015-01-22
Latest Update: 2023-08-30
Description:
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.
How to cite:
Ivan Bezerra Allaman (2015). lba: Latent Budget Analysis for Compositional Data. R package version 2.4.52, https://cran.r-project.org/web/packages/lba. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0 (2015-01-22 18:42), 1.2 (2015-06-27 00:46), 2.4.1 (2016-12-20 00:55), 2.4.3 (2017-07-11 19:04), 2.4.4 (2018-01-10 19:40), 2.4.5 (2022-05-12 23:20), 2.4.51 (2023-06-22 22:00)
Other packages that cited lba R package
View lba citation profile
Other R packages that lba depends, imports, suggests or enhances
Complete documentation for lba
Functions, R codes and Examples using the lba R package
Some associated functions: MANHATAN . PerfMark . goodnessfit . housing . lba-internal . lba-package . lba . plotcorr . plotlba . postmater . pregnancy . print.goodnessfit . print.lba . summary.goodnessfit . summary.lba . votB . 
Some associated R codes: constrainAB.R . goodnessfit.R . goodnessfit.default.R . goodnessfit.lba.ls.R . goodnessfit.lba.ls.fe.R . goodnessfit.lba.ls.logit.R . goodnessfit.lba.mle.R . goodnessfit.lba.mle.fe.R . goodnessfit.lba.mle.logit.R . identif.R . lba.R . lba.default.R . lba.formula.R . lba.ls.R . lba.ls.fe.R . lba.ls.logit.R . lba.matrix.R . lba.mle.R . lba.mle.fe.R . lba.mle.logit.R . lba.table.R . plotcorr.R . plotcorr.lba.1d.R . plotcorr.lba.2d.R . plotcorr.lba.3d.R . plotlba.R . plotlba.lba.1d.R . plotlba.lba.2d.R . print.goodnessfit.lba.ls.R . print.goodnessfit.lba.ls.fe.R . print.goodnessfit.lba.ls.logit.R . print.goodnessfit.lba.mle.R . print.goodnessfit.lba.mle.fe.R . print.goodnessfit.lba.mle.logit.R . print.lba.ls.R . print.lba.ls.fe.R . print.lba.ls.logit.R . print.lba.mle.R . print.lba.mle.fe.R . print.lba.mle.logit.R . rdirich.R . rescaleB.R . summary.goodnessfit.R . summary.goodnessfit.lba.ls.R . summary.goodnessfit.lba.ls.fe.R . summary.goodnessfit.lba.ls.logit.R . summary.goodnessfit.lba.mle.R . summary.goodnessfit.lba.mle.fe.R . summary.goodnessfit.lba.mle.logit.R . summary.lba.R . summary.lba.ls.R . summary.lba.ls.fe.R . summary.lba.ls.logit.R . summary.lba.mle.R . summary.lba.mle.fe.R . summary.lba.mle.logit.R .  Full lba package functions and examples
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