Package: MVar 2.2.5
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:
MVar_2.2.5.tar.gz
MVar_2.2.5.tar.gz(r-4.5-noble)MVar_2.2.5.tar.gz(r-4.4-noble)
MVar_2.2.5.tgz(r-4.4-emscripten)MVar_2.2.5.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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 months agofrom:795c7f38f4. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 23 2024 |
R-4.5-linux-x86_64 | OK | Dec 23 2024 |
Exports:BiplotCACCAClusterCoefVarDAFAGrandTourGSVDIMLocLabMDSMFANormDataNormTestPCAPlot.CAPlot.CCAPlot.CorPlot.FAPlot.MFAPlot.PCAPlot.PPPlot.RegrPP_IndexPP_OptimizerRegrScatter
Dependencies:MASS