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mbclusterwise  

Clusterwise Multiblock Analyses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mbclusterwise", "1.0")



Attach the package and use:
library("mbclusterwise")
Maintained by
Stephanie Bougeard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-22
Latest Update: 2023-10-02
Description:
Perform clusterwise multiblock analyses (clusterwise multiblock Partial Least Squares, clusterwise multiblock Redundancy Analysis or a regularized method between the two latter ones) associated with a F-fold cross-validation procedure to select the optimal number of clusters and dimensions.
How to cite:
Stephanie Bougeard (2016). mbclusterwise: Clusterwise Multiblock Analyses. R package version 1.0, https://cran.r-project.org/web/packages/mbclusterwise. Accessed 28 Mar. 2025.
Previous versions and publish date:
1.0 (2016-11-22 17:08)
Other packages that cited mbclusterwise R package
View mbclusterwise citation profile
Other R packages that mbclusterwise depends, imports, suggests or enhances
Functions, R codes and Examples using the mbclusterwise R package
Some associated functions: cw.multiblock . cw.predict . cw.tenfold . mbclusterwise-package . mbpcaiv.fast . mbpls.fast . mbregular . simdata.red . 
Some associated R codes: cw.multiblock.R . cw.predict.R . cw.tenfold.R . mbpcaiv.fast.R . mbpls.fast.R . mbregular.R .  Full mbclusterwise package functions and examples
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