multigroup: multigroup: methods for multigroup data analysis
In multigroup: Multigroup Data Analysis
Description
This package includes several methods to study multigroup data,
where the same set of variables are measured on different groups of
individuals.
Some Functions
multigroup provides a set of functions for multigroup analysis:
-
BGC: Between Group Comparison
-
DCCSWA: Dual Common Component and Specific Weights Analysis
-
DGPA: Dual Generalized Procrustes Analysis
-
DSTATIS: Dual STATIS
-
FCPCA: Flury's Common Principal Component Analysis
-
mgPCA:Multigroup Principal Component Analysis
-
mgPLS: Multigroup Partial Least Squares Regression
-
mbmgPCA: Multiblock and multigroup PCA
multigroup documentation built on March 26, 2020, 5:50 p.m.
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Description
This package includes several methods to study multigroup data, where the same set of variables are measured on different groups of individuals.
Some Functions
multigroup provides a set of functions for multigroup analysis:
-
BGC: Between Group Comparison -
DCCSWA: Dual Common Component and Specific Weights Analysis -
DGPA: Dual Generalized Procrustes Analysis -
DSTATIS: Dual STATIS -
FCPCA: Flury's Common Principal Component Analysis -
mgPCA:Multigroup Principal Component Analysis -
mgPLS: Multigroup Partial Least Squares Regression -
mbmgPCA: Multiblock and multigroup PCA
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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