Package index • multiblock

Multiblock object

A common object type for many multiblock methods.

multiblock-package multiblock: multiblock

scores(<multiblock>) loadings(<multiblock>) print(<multiblock>) summary(<multiblock>): Result Functions for Multiblock Objects

scoreplot(<multiblock>) loadingplot(<multiblock>) loadingweightplot() biplot(<multiblock>) corrplot(): Plot Functions for Multiblock Objects

Basic methods

Single- and two-block methods

basic: Single- and Two-Block Methods

pca(): Principal Component Analysis - PCA

reexports asca scoreplot loadingplot timeplot permutationplot pcr plsr MSEP R2 RMSEP coefplot cvsegments loading.weights loadings mvrValstats predplot scores validationplot: Objects exported from other packages

cca(): Canonical Correlation Analysis - CCA

ifa(): Inter-battery Factor Analysis - IFA

gsvd(): Generalised Singular Value Decomposition - GSVD

Unsupervised methods

unsupervised: Unsupervised Multiblock Methods

sca(): Simultaneous Component Analysis - SCA

gca(): Generalized Canonical Analysis - GCA

gpa(): Generalized Procrustes Analysis - GPA

mfa(): Multiple Factor Analysis - MFA

pcagca(): PCA-GCA

disco(): Distinctive and Common Components with SCA - DISCO

DISCOsca(): DISCO-SCA rotation.

hpca(): Hierarchical Principal component analysis - HPCA

mcoa(): Multiple Co-Inertia Analysis - MCOA

jive(): Joint and Individual Variation Explained - JIVE

statis(): Structuration des Tableaux à Trois Indices de la Statistique - STATIS

hogsvd(): Higher Order Generalized SVD - HOGSVD

Supervised methods

supervised: Supervised Multiblock Methods

mbpls(): Multiblock Partial Least Squares - MB-PLS

smbpls(): Sparse Multiblock Partial Least Squares - sMB-PLS

sopls(): Sequential and Orthogonalized PLS (SO-PLS)

predict(<sopls>) coef(<sopls>) print(<sopls>) summary(<sopls>) classify() R2(<sopls>) RMSEP(<sopls>) pcp() cvanova() print(<cvanova>) summary(<cvanova>) plot(<cvanova>) residuals(<sopls>): Result functions for SO-PLS models

loadings(<sopls>) scores(<sopls>) scoreplot(<sopls>) loadingplot(<sopls>) corrplot(<sopls>) biplot(<sopls>): Scores, loadings and plots for sopls objects

maage() maageSeq(): Måge plot

popls(): Parallel and Orthogonalised Partial Least Squares - PO-PLS

rosa(): Response Oriented Sequential Alternation - ROSA

predict(<rosa>) coef(<rosa>) print(<rosa>) summary(<rosa>) blockexpl() print(<rosaexpl>) rosa.classify() scores(<rosa>) loadings(<rosa>): Result functions for ROSA models

image(<rosa>) barplot(<rosa>): Plotting functions for ROSA models

mbrda(): Multiblock Redundancy Analysis - mbRDA

R2(<mbpls>) MSEP(<mbpls>) RMSEP(<mbpls>): MSEP, RMSEP and R2 of the MB-PLS model

predict(<mbpls>): Predict Method for MBPLS

Complex methods

complex: Methods With Complex Linkage

lpls(): L-PLS regression

plot(<lpls>) predict(<lpls>) lplsCV(): Result functions for L-PLS objects (lpls)

lplsData(): L-PLS data simulation for exo-type analysis

sopls_pm() print(<SO_TDI>) sopls_pm_multiple() print(<SO_TDI_multiple>): Total, direct, indirect and additional effects in SO-PLS-PM.

ASCA

reexports asca scoreplot loadingplot timeplot permutationplot pcr plsr MSEP R2 RMSEP coefplot cvsegments loading.weights loadings mvrValstats predplot scores validationplot: Objects exported from other packages

Utility functions

block.data.frame(): Block-wise indexable data.frame

compnames(): Vector of component names

dummycode(): Dummy-coding of a single vector

explvar(): Explained predictor variance

mcolors(): Colour palette generation from matrix of RGB values

reexports asca scoreplot loadingplot timeplot permutationplot pcr plsr MSEP R2 RMSEP coefplot cvsegments loading.weights loadings mvrValstats predplot scores validationplot: Objects exported from other packages

unique_combos(): Unique combinations of blocks

extended.model.frame(): Extracting the Extended Model Frame from a Formula or Fit

block.preprocess(): Preprocessing of block data

Datasets

candies: Sensory assessment of candies.

mobile: ECSI Mobile Mobile Phone Provider Dataset

potato: Sensory, rheological, chemical and spectroscopic analysis of potatoes.

simulated: Data simulated to have certain characteristics.

wine: Wines of Val de Loire