mbclusterwise: Clusterwise Multiblock Analyses

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.

Author
Stephanie Bougeard
Date of publication
2016-11-22 17:08:03
Maintainer
Stephanie Bougeard <stephanie.bougeard@anses.fr>
License
GPL (>= 2.0)
Version
1.0

View on CRAN

Man pages

cw.multiblock
Clusterwise multiblock analyses
cw.predict
Prediction procedure for clusterwise multiblock analyses
cw.tenfold
F-Fold cross-validation for clusterwise multiblock analyses
mbclusterwise-package
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("mbclusterwise")}
mbpcaiv.fast
Multiblock principal component analysis with instrumental...
mbpls.fast
Multiblock partial least squares
mbregular
Regularized multiblock regression
simdata.red
Simulated toy data with two groups to test the mbclusterwise...

Files in this package

mbclusterwise
mbclusterwise/NAMESPACE
mbclusterwise/data
mbclusterwise/data/simdata.red.rda
mbclusterwise/R
mbclusterwise/R/mbregular.R
mbclusterwise/R/mbpls.fast.R
mbclusterwise/R/cw.tenfold.R
mbclusterwise/R/cw.predict.R
mbclusterwise/R/cw.multiblock.R
mbclusterwise/R/mbpcaiv.fast.R
mbclusterwise/MD5
mbclusterwise/build
mbclusterwise/build/partial.rdb
mbclusterwise/DESCRIPTION
mbclusterwise/man
mbclusterwise/man/simdata.red.Rd
mbclusterwise/man/cw.predict.Rd
mbclusterwise/man/mbregular.Rd
mbclusterwise/man/mbpcaiv.fast.Rd
mbclusterwise/man/mbclusterwise-package.Rd
mbclusterwise/man/cw.tenfold.Rd
mbclusterwise/man/cw.multiblock.Rd
mbclusterwise/man/mbpls.fast.Rd