Package: MVar 2.2.3

Paulo Cesar Ossani

MVar: Multivariate Analysis

Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.

Authors:Paulo Cesar Ossani [aut, cre], Marcelo Angelo Cirillo [aut]

MVar_2.2.3.tar.gz
MVar_2.2.3.tar.gz(r-4.5-noble)MVar_2.2.3.tar.gz(r-4.4-noble)
MVar_2.2.3.tgz(r-4.4-emscripten)MVar_2.2.3.tgz(r-4.3-emscripten)
MVar.pdf |MVar.html
MVar/json (API)

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

Peer review:

Datasets:

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

1.79 score 31 scripts 716 downloads 28 exports 1 dependencies

Last updated 20 hours agofrom:83bf3a6857. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024

Exports:BiplotCACCAClusterCoefVarDAFAGrandTourGSVDIMLocLabMDSMFANormDataNormTestPCAPlot.CAPlot.CCAPlot.CorPlot.FAPlot.MFAPlot.PCAPlot.PPPlot.RegrPP_IndexPP_OptimizerRegrScatter

Dependencies:MASS