Package: packMBPLSDA 0.9.0

Marion Brandolini-Bunlon

packMBPLSDA: Multi-Block Partial Least Squares Discriminant Analysis

Several functions are provided to implement a MBPLSDA : components search, optimal model components number search, optimal model validity test by permutation tests, observed values evaluation of optimal model parameters and predicted categories, bootstrap values evaluation of optimal model parameters and predicted cross-validated categories. The use of this package is described in Brandolini-Bunlon et al (2019. Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data. Metabolomics, 15(10):134).

Authors:Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera, Estelle Pujos-Guillot

packMBPLSDA_0.9.0.tar.gz
packMBPLSDA_0.9.0.tar.gz(r-4.5-noble)packMBPLSDA_0.9.0.tar.gz(r-4.4-noble)
packMBPLSDA_0.9.0.tgz(r-4.4-emscripten)packMBPLSDA_0.9.0.tgz(r-4.3-emscripten)
packMBPLSDA.pdf |packMBPLSDA.html✨
packMBPLSDA/json (API)

# Install 'packMBPLSDA' in R:
install.packages('packMBPLSDA', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 206 downloads 12 exports 112 dependencies

Last updated 3 years agofrom:a236b18f67. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-linuxOKMar 08 2025

Exports:boot_mbplsdacvpred_mbplsdadisjunctivembplsdapermut_mbplsdaplot_boot_mbplsdaplot_cvpred_mbplsdaplot_permut_mbplsdaplot_pred_mbplsdaplot_testdim_mbplsdapred_mbplsdatestdim_mbplsda

Dependencies:abindade4backportsbase64encbootbroombslibcachemcarcarDatacliclustercodetoolscolorspacecowplotcpp11crosstalkDerivdigestdoBydoParalleldplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeforeachFormulafsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpixmappkgconfigplyrpROCpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownsassscalesscatterplot3dspSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Citation

To cite package ‘packMBPLSDA’ in publications use:

Brandolini-Bunlon M, Bougeard S, Petera M, Pujos-Guillot E (2022). packMBPLSDA: Multi-Block Partial Least Squares Discriminant Analysis. R package version 0.9.0, https://CRAN.R-project.org/package=packMBPLSDA.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {packMBPLSDA: Multi-Block Partial Least Squares
      Discriminant Analysis},
    author = {Marion Brandolini-Bunlon and Stephanie Bougeard and
      Melanie Petera and Estelle Pujos-Guillot},
    year = {2022},
    note = {R package version 0.9.0},
    url = {https://CRAN.R-project.org/package=packMBPLSDA},
  }