Package: plsRbeta 0.3.0

plsRbeta: Partial Least Squares Regression for Beta Regression Models

Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <http://journal-sfds.fr/article/view/215>) 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.

Authors:Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut]

plsRbeta_0.3.0.tar.gz
plsRbeta_0.3.0.zip(r-4.5)plsRbeta_0.3.0.zip(r-4.4)plsRbeta_0.3.0.zip(r-4.3)
plsRbeta_0.3.0.tgz(r-4.4-any)plsRbeta_0.3.0.tgz(r-4.3-any)
plsRbeta_0.3.0.tar.gz(r-4.5-noble)plsRbeta_0.3.0.tar.gz(r-4.4-noble)
plsRbeta_0.3.0.tgz(r-4.4-emscripten)plsRbeta_0.3.0.tgz(r-4.3-emscripten)
plsRbeta.pdf |plsRbeta.html
plsRbeta/json (API)

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

Peer review:

Bug tracker:https://github.com/fbertran/plsrbeta/issues

Datasets:

On CRAN:

4.34 score 2 stars 22 scripts 295 downloads 21 exports 81 dependencies

Last updated 2 years agofrom:5074584351. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:bootplsbetacoefs.plsRbetacoefs.plsRbeta.rawcoefs.plsRbetanpkfolds2CVinfos_betapermcoefs.plsRbetapermcoefs.plsRbeta.rawpermcoefs.plsRbetanpPLS_betaPLS_beta_formulaPLS_beta_kfoldcvPLS_beta_kfoldcv_formulaPLS_beta_wvcplsRbetaplsRbetamodel.defaultplsRbetamodel.formulaprint.plsRbetamodelprint.summary.plsRbetamodelsimul_data_UniYX_betasummary.plsRbetamodeltilt.bootplsbeta

Dependencies:abindbackportsbetaregbipartitebootbroomcarcarDatacliclustercodacolorspacecowplotcpp11DerivdoBydotCall64dplyrfansifarverfieldsflexmixFormulagenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclelme4lmtestmagrittrmapsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmodeltoolsmunsellmvtnormnetworknlmenloptrnnetnumDerivpbkrtestpermutepillarpkgconfigplsRglmpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalessnaspamSparseMstatnet.commonstringistringrsurvivaltibbletidyrtidyselectutf8vctrsveganviridisLitewithrzoo

Partial Least Squares Regression for Beta Regression Models

Rendered fromtn_Insights.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2021-07-15
Started: 2021-07-15

Readme and manuals

Help Manual

Help pageTopics
plsRbeta-packageplsRbeta-package
Non-parametric Bootstrap for PLS beta regression modelsbootplsbeta
Coefficients function for bootstrap techniquescoefs.plsRbeta
Raw coefficients function for bootstrap techniquescoefs.plsRbeta.raw
Coefficients for bootstrap computations of PLSBeta modelscoefs.plsRbetanp
Tumor rate and spectral datacolon
ind_BCa_nt1BCind_BCa_nt1BC
ind_BCa_nt1BRind_BCa_nt1BR
ind_BCa_nt2BCind_BCa_nt2BC
ind_BCa_nt2BRind_BCa_nt2BR
ind_BCa_nt3ind_BCa_nt3
ind_BCa_nt3BCind_BCa_nt3BC
ind_BCa_nt3BRind_BCa_nt3BR
ind_BCa_nt4BCind_BCa_nt4BC
ind_BCa_nt4BRind_BCa_nt4BR
ind_BCa_nt5BCind_BCa_nt5BC
ind_BCa_nt5BRind_BCa_nt5BR
ind_BCa_nt6BCind_BCa_nt6BC
ind_BCa_nt6BRind_BCa_nt6BR
Computes Predicted Chisquare for kfold cross validated partial least squares beta regression models.kfolds2Chisq
Computes individual Predicted Chisquare for kfold cross validated partial least squares beta regression models.kfolds2Chisqind
Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares beta regression modelskfolds2CVinfos_beta
A plsRbetamodel model on a data subsetmodpls_sub4
Bootstrap distribution of a 3 components modelmodpls.boot3
Coefficients function for permutation bootstrap techniquespermcoefs.plsRbeta
Raw coefficients function for permutation bootstrap techniquespermcoefs.plsRbeta.raw
Coefficients for permutation bootstrap computations of PLSBeta modelspermcoefs.plsRbetanp
Partial least squares beta regression modelsPLS_beta
Partial least squares beta regression modelsPLS_beta_formula
Partial least squares regression beta models with kfold cross validationPLS_beta_kfoldcv
Partial least squares regression beta models with kfold cross validationPLS_beta_kfoldcv_formula
Light version of PLS_beta for cross validation purposesPLS_beta_wvc
Partial least squares Regression beta regression modelsplsRbeta plsRbetamodel.default plsRbetamodel.formula
Print method for plsRbeta modelsprint.plsRbetamodel
Print method for summaries of plsRbeta modelsprint.summary.plsRbetamodel
Data generating function for univariate beta plsR modelssimul_data_UniYX_beta
Summary method for plsRbeta modelssummary.plsRbetamodel
Non-parametric tilted bootstrap for PLS beta regression modelstilt.bootplsbeta
Cancer infiltration ratesTxTum
Bootstrap distribution TxTum BC1 modelTxTum.mod.bootBC1
Bootstrap distribution TxTum BR6 modelTxTum.mod.bootBR6