Package: plsRglm 1.5.1

plsRglm: Partial Least Squares Regression for Generalized Linear Models

Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria <arxiv:1810.01005>. 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]

plsRglm_1.5.1.tar.gz
plsRglm_1.5.1.zip(r-4.5)plsRglm_1.5.1.zip(r-4.4)plsRglm_1.5.1.zip(r-4.3)
plsRglm_1.5.1.tgz(r-4.4-any)plsRglm_1.5.1.tgz(r-4.3-any)
plsRglm_1.5.1.tar.gz(r-4.5-noble)plsRglm_1.5.1.tar.gz(r-4.4-noble)
plsRglm_1.5.1.tgz(r-4.4-emscripten)plsRglm_1.5.1.tgz(r-4.3-emscripten)
plsRglm.pdf |plsRglm.html✨
plsRglm/json (API)
NEWS

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

Peer review:

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

Datasets:
  • CorMat - Correlation matrix for simulating plsR datasets
  • Cornell - Cornell dataset
  • XbordeauxNA - Incomplete dataset for the quality of wine dataset
  • XpineNAX21 - Incomplete dataset from the pine caterpillars example
  • aze - Microsatellites Dataset
  • aze_compl - As aze without missing values
  • bordeaux - Quality of wine dataset
  • bordeauxNA - Quality of wine dataset
  • fowlkes - Fowlkes dataset
  • pine - Pine dataset
  • pineNAX21 - Incomplete dataset from the pine caterpillars example
  • pine_full - Complete Pine dataset
  • pine_sup - Complete Pine dataset

On CRAN:

7.69 score 16 stars 5 packages 103 scripts 957 downloads 2 mentions 82 exports 74 dependencies

Last updated 2 years agofrom:058296cd0c. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winNOTENov 03 2024
R-4.5-linuxNOTENov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:aic.dofAICplsbic.dofbootplsbootplsglmboxplots.bootplscoef.plsRglmmodelcoef.plsRmodelcoefs.plsRcoefs.plsR.rawcoefs.plsRglmcoefs.plsRglm.rawcoefs.plsRglmnpcoefs.plsRnpconfints.bootplscv.plsRcv.plsRglmcv.plsRglmmodel.defaultcv.plsRglmmodel.formulacv.plsRmodel.defaultcv.plsRmodel.formulacvtablecvtable.plsRcvtable.plsRglmdichogmdl.dofinfcrit.dofkfolds2Chisqkfolds2Chisqindkfolds2coeffkfolds2CVinfos_glmkfolds2CVinfos_lmkfolds2Mclassedkfolds2Mclassedindkfolds2Presskfolds2Pressindloglikplspermcoefs.plsRpermcoefs.plsR.rawpermcoefs.plsRglmpermcoefs.plsRglm.rawpermcoefs.plsRglmnppermcoefs.plsRnpplot.table.summary.cv.plsRglmmodelplot.table.summary.cv.plsRmodelplots.confints.bootplsPLS_glmPLS_glm_formulaPLS_glm_kfoldcvPLS_glm_kfoldcv_formulaPLS_glm_wvcPLS_lmPLS_lm_formulaPLS_lm_kfoldcvPLS_lm_kfoldcv_formulaPLS_lm_wvcplsRplsR.dofplsRglmplsRglmmodel.defaultplsRglmmodel.formulaplsRmodel.defaultplsRmodel.formulapredict.plsRglmmodelpredict.plsRmodelprint.cv.plsRglmmodelprint.cv.plsRmodelprint.plsRglmmodelprint.plsRmodelprint.summary.plsRglmmodelprint.summary.plsRmodelsignpredsimul_data_completesimul_data_UniYXsimul_data_UniYX_binomsimul_data_YXsummary.cv.plsRglmmodelsummary.cv.plsRmodelsummary.plsRglmmodelsummary.plsRmodeltilt.bootplstilt.bootplsglm

Dependencies:abindbackportsbipartitebootbroomcarcarDatacliclustercodacolorspacecowplotcpp11DerivdoBydotCall64dplyrfansifarverfieldsFormulagenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclelme4magrittrmapsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellmvtnormnetworknlmenloptrnnetnumDerivpbkrtestpermutepillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalessnaspamSparseMstatnet.commonstringistringrsurvivaltibbletidyrtidyselectutf8vctrsveganviridisLitewithr

plsRglm: Algorithmic insights and applications

Rendered fromplsRglm.pdf.asisusingR.rsp::asison Nov 03 2024.

Last update: 2021-03-14
Started: 2014-06-27

plsRglm: Manual

Rendered fromplsRglm-manual.pdf.asisusingR.rsp::asison Nov 03 2024.

Last update: 2021-03-14
Started: 2014-06-27

Readme and manuals

Help Manual

Help pageTopics
plsRglm-packageplsRglm-package
Akaike and Bayesian Information Criteria and Generalized minimum description lengthaic.dof bic.dof gmdl.dof
AIC function for plsR modelsAICpls
Microsatellites Datasetaze
As aze without missing valuesaze_compl
Non-parametric Bootstrap for PLS modelsbootpls
Non-parametric Bootstrap for PLS generalized linear modelsbootplsglm
Quality of wine datasetbordeaux
Quality of wine datasetbordeauxNA
Boxplot bootstrap distributionsboxplots.bootpls
coef method for plsR modelscoef.plsRglmmodel
coef method for plsR modelscoef.plsRmodel
Coefficients for bootstrap computations of PLSR modelscoefs.plsR
Raw coefficients for bootstrap computations of PLSR modelscoefs.plsR.raw
Coefficients for bootstrap computations of PLSGLR modelscoefs.plsRglm
Raw coefficients for bootstrap computations of PLSGLR modelscoefs.plsRglm.raw
Coefficients for bootstrap computations of PLSGLR modelscoefs.plsRglmnp
Coefficients for bootstrap computations of PLSR modelscoefs.plsRnp
Bootstrap confidence intervalsconfints.bootpls
Correlation matrix for simulating plsR datasetsCorMat
Cornell datasetCornell
Partial least squares regression models with k-fold cross-validationcv.plsR cv.plsRmodel.default cv.plsRmodel.formula PLS_lm_kfoldcv PLS_lm_kfoldcv_formula
Partial least squares regression glm models with k-fold cross validationcv.plsRglm cv.plsRglmmodel.default cv.plsRglmmodel.formula PLS_glm_kfoldcv PLS_glm_kfoldcv_formula
Table method for summary of cross validated PLSR and PLSGLR modelscvtable cvtable.plsR cvtable.plsRglm
Dichotomizationdicho
Fowlkes datasetfowlkes
Information criteriainfcrit.dof
Computes Predicted Chisquare for k-fold cross-validated partial least squares regression models.kfolds2Chisq
Computes individual Predicted Chisquare for k-fold cross validated partial least squares regression models.kfolds2Chisqind
Extracts coefficients from k-fold cross validated partial least squares regression modelskfolds2coeff
Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares glm modelskfolds2CVinfos_glm
Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares modelskfolds2CVinfos_lm
Number of missclassified individuals for k-fold cross validated partial least squares regression models.kfolds2Mclassed
Number of missclassified individuals per group for k-fold cross validated partial least squares regression models.kfolds2Mclassedind
Computes PRESS for k-fold cross validated partial least squares regression models.kfolds2Press
Computes individual PRESS for k-fold cross validated partial least squares regression models.kfolds2Pressind
loglikelihood function for plsR modelsloglikpls
Coefficients for permutation bootstrap computations of PLSR modelspermcoefs.plsR
Raw coefficients for permutation bootstrap computations of PLSR modelspermcoefs.plsR.raw
Coefficients for permutation bootstrap computations of PLSGLR modelspermcoefs.plsRglm
Raw coefficients for permutation bootstrap computations of PLSGLR modelspermcoefs.plsRglm.raw
Coefficients for permutation bootstrap computations of PLSGLR modelspermcoefs.plsRglmnp
Coefficients computation for permutation bootstrappermcoefs.plsRnp
Pine datasetpine
Complete Pine datasetpine_full
Complete Pine datasetpine_sup
Incomplete dataset from the pine caterpillars examplepineNAX21
Plot method for table of summary of cross validated plsRglm modelsplot.table.summary.cv.plsRglmmodel
Plot method for table of summary of cross validated plsR modelsplot.table.summary.cv.plsRmodel
Plot bootstrap confidence intervalsplots.confints.bootpls
Light version of PLS_glm for cross validation purposesPLS_glm_wvc
Light version of PLS_lm for cross validation purposesPLS_lm_wvc
Partial least squares Regression models with leave one out cross validationplsR plsRmodel.default plsRmodel.formula PLS_lm PLS_lm_formula
Computation of the Degrees of FreedomplsR.dof
Partial least squares Regression generalized linear modelsplsRglm plsRglmmodel.default plsRglmmodel.formula PLS_glm PLS_glm_formula
Print method for plsRglm modelspredict.plsRglmmodel
Print method for plsR modelspredict.plsRmodel
Print method for plsRglm modelsprint.coef.plsRglmmodel
Print method for plsR modelsprint.coef.plsRmodel
Print method for plsRglm modelsprint.cv.plsRglmmodel
Print method for plsR modelsprint.cv.plsRmodel
Print method for plsRglm modelsprint.plsRglmmodel
Print method for plsR modelsprint.plsRmodel
Print method for summaries of plsRglm modelsprint.summary.plsRglmmodel
Print method for summaries of plsR modelsprint.summary.plsRmodel
Graphical assessment of the stability of selected variablessignpred
Data generating detailed process for multivariate plsR modelssimul_data_complete
Data generating function for univariate plsR modelssimul_data_UniYX
Data generating function for univariate binomial plsR modelssimul_data_UniYX_binom
Data generating function for multivariate plsR modelssimul_data_YX
Summary method for plsRglm modelssummary.cv.plsRglmmodel
Summary method for plsR modelssummary.cv.plsRmodel
Summary method for plsRglm modelssummary.plsRglmmodel
Summary method for plsR modelssummary.plsRmodel
Non-parametric tilted bootstrap for PLS regression modelstilt.bootpls
Non-parametric tilted bootstrap for PLS generalized linear regression modelstilt.bootplsglm
Incomplete dataset for the quality of wine datasetXbordeauxNA
Incomplete dataset from the pine caterpillars exampleXpineNAX21