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multiblock

Source: R/multiblock-package.R
multiblock.Rd

A collection of methods for analysis of data sets with more than two blocks of data.

Unsupervised methods:

  • SCA - Simultaneous Component Analysis (sca)

  • GCA - Generalized Canonical Analysis (gca)

  • GPA - Generalized Procrustes Analysis (gpa)

  • MFA - Multiple Factor Analysis (mfa)

  • PCA-GCA (pcagca)

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

  • 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)

Design based methods:

  • ASCA - Anova Simultaneous Component Analysis (asca)

Supervised methods:

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

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

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

  • PO-PLS - Parallel and Orthogonalized PLS (popls)

  • ROSA - Response Oriented Sequential Alternation (rosa)

  • mbRDA - Multiblock Redundancy Analysis (mbrda)

Complex methods:

  • L-PLS - Partial Least Squares in L configuration (lpls)

  • SO-PLS-PM - Sequential and Orthogonalised PLS Path Modelling (sopls_pm)

Single- and two-block methods:

  • PCA - Principal Component Analysis (pca)

  • PCR - Principal Component Regression (pcr)

  • PLSR - Partial Least Squares Regression (plsr)

  • CCA - Canonical Correlation Analysis (cca)

  • IFA - Interbattery Factor Analysis (ifa)

  • GSVD - Generalized SVD (gsvd)

Datasets:

  • Sensory assessment of candies (candies)

  • Sensory, rheological, chemical and spectroscopic analysis of potatoes (potato)

  • Data simulated to have certain characteristics (simulated)

  • Wines of Val de Loire (wine)

Utility functions:

See also

Overviews of available methods, multiblock, and methods organised by main structure: basic, unsupervised, asca, supervised and complex.

Author

Maintainer: Kristian Hovde Liland kristian.liland@nmbu.no (ORCID)

Other contributors:

  • Solve Sæbø [contributor]

  • Stefan Schrunner [reviewer]