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plsRbeta  

Partial Least Squares Regression for Beta Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("plsRbeta", "0.3.2")



Attach the package and use:
library("plsRbeta")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-11-30
Latest Update: 2025-09-03
Description:
Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, ) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
How to cite:
Frederic Bertrand (2011). plsRbeta: Partial Least Squares Regression for Beta Regression Models. R package version 0.3.2, https://cran.r-project.org/web/packages/plsRbeta. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:42), 0.1.1 (2011-11-30 13:28), 0.1.7 (2012-08-27 09:02), 0.1.8 (2014-03-11 15:45), 0.2.0 (2014-12-17 16:18), 0.2.1 (2018-06-03 00:10), 0.2.2 (2018-06-11 23:13), 0.2.3 (2018-08-28 23:20), 0.2.5 (2019-02-01 12:30), 0.2.6 (2021-03-18 06:50), 0.2.9 (2022-05-03 00:52), 0.3.0 (2023-03-15 14:40), 0.3.1 (2025-08-18 11:40), 0.3.2 (2025-09-21 00:50)
Other packages that cited plsRbeta R package
View plsRbeta citation profile
Other R packages that plsRbeta depends, imports, suggests or enhances
Complete documentation for plsRbeta
Functions, R codes and Examples using the plsRbeta R package
Some associated functions: PLS_beta . PLS_beta_formula . PLS_beta_kfoldcv . PLS_beta_kfoldcv_formula . PLS_beta_wvc . TxTum.mod.bootBC1 . TxTum.mod.bootBR6 . TxTum . bootplsbeta . coefs.plsRbeta . coefs.plsRbeta.raw . coefs.plsRbetanp . colon . ind_BCa_nt1BC . ind_BCa_nt1BR . ind_BCa_nt2BC . ind_BCa_nt2BR . ind_BCa_nt3 . ind_BCa_nt3BC . ind_BCa_nt3BR . ind_BCa_nt4BC . ind_BCa_nt4BR . ind_BCa_nt5BC . ind_BCa_nt5BR . ind_BCa_nt6BC . ind_BCa_nt6BR . kfolds2CVinfos_beta . kfolds2Chisq . kfolds2Chisqind . modpls.boot3 . modpls_sub4 . permcoefs.plsRbeta . permcoefs.plsRbeta.raw . permcoefs.plsRbetanp . plsRbeta-package . plsRbeta . print.plsRbetamodel . print.summary.plsRbetamodel . simul_data_UniYX_beta . summary.plsRbetamodel . tilt.bootplsbeta . 
Some associated R codes: PLS_beta.R . PLS_beta_formula.R . PLS_beta_kfoldcv.R . PLS_beta_kfoldcv_formula.R . PLS_beta_wvc.R . TxTum.mod.bootBC1.R . TxTum.mod.bootBR6.R . bootplsbeta.R . coefs.plsRbeta.R . coefs.plsRbeta.raw.R . coefs.plsRbetanp.R . colon.R . datasets.R . ind_BCa_nt1BC.R . ind_BCa_nt1BR.R . ind_BCa_nt2BC.R . ind_BCa_nt2BR.R . ind_BCa_nt3.R . ind_BCa_nt3BC.R . ind_BCa_nt3BR.R . ind_BCa_nt4BC.R . ind_BCa_nt4BR.R . ind_BCa_nt5BC.R . ind_BCa_nt5BR.R . ind_BCa_nt6BC.R . ind_BCa_nt6BR.R . kfolds2CVinfos_beta.R . kfolds2Chisq.R . kfolds2Chisqind.R . modpls.boot3.R . modpls_sub4.R . permcoefs.plsRbeta.R . permcoefs.plsRbeta.raw.R . permcoefs.plsRbetanp.R . plsRbeta-package.R . plsRbeta.R . plsRbetamodel.default.R . plsRbetamodel.formula.R . print.plsRbetamodel.R . print.summary.plsRbetamodel.R . simul_data_UniYX_beta.R . summary.plsRbetamodel.R . tilt.bootplsbeta.R .  Full plsRbeta package functions and examples
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