Package: DFA.CANCOR 0.2.8

DFA.CANCOR: Linear Discriminant Function and Canonical Correlation Analysis

Produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and Tabachnik & Fidell (2019, ISBN:9780134790541).

Authors:Brian P. O'Connor

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DFA.CANCOR/json (API)

# Install 'DFA.CANCOR' in R:
install.packages('DFA.CANCOR', repos = c('https://bpoconnor.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 6.14 score 76 dependencies 128 mentions 725 downloads

Last updated 1 years agofrom:46ee22cacd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:CANCORDFAGROUP.DIFFSHOMOGENEITYLINEARITYNORMALITYPLOT_LINEARITY

Dependencies:abindbackportsBayesFactorbootbroomcarcarDataclicodacolorspacecontfraccowplotcpp11DerivdeSolvedoBydplyrellipticenergyfansifarvergenericsggplot2glueGPArotationgslgtablehypergeoisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamnormtmodelrmomentsmunsellMVNmvtnormnlmenloptrnnetnortestnumDerivpbapplypbkrtestpillarpkgconfigplyrpsychpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr