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

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 = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

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

1.60 score 535 downloads 28 exports 1 dependencies

Last updated 4 months agofrom:795c7f38f4. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-linux-x86_64OKMar 23 2025
R-4.4-linux-x86_64OKMar 23 2025

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

Dependencies:MASS

Citation

To cite package ‘MVar’ in publications use:

Ossani P, Cirillo M (2024). MVar: Multivariate Analysis. R package version 2.2.5, https://CRAN.R-project.org/package=MVar.

Corresponding BibTeX entry: 

  @Manual{,
    title = {MVar: Multivariate Analysis},
    author = {Paulo Cesar Ossani and Marcelo Angelo Cirillo},
    year = {2024},
    note = {R package version 2.2.5},
    url = {https://CRAN.R-project.org/package=MVar},
  }