Package: GDAtools 2.2
GDAtools: Geometric Data Analysis
Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).
Authors:
GDAtools_2.2.tar.gz
GDAtools_2.2.zip(r-4.5)GDAtools_2.2.zip(r-4.4)GDAtools_2.2.zip(r-4.3)
GDAtools_2.2.tgz(r-4.4-any)GDAtools_2.2.tgz(r-4.3-any)
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GDAtools_2.2.tgz(r-4.4-emscripten)GDAtools_2.2.tgz(r-4.3-emscripten)
GDAtools.pdf |GDAtools.html✨
GDAtools/json (API)
NEWS
# Install 'GDAtools' in R: |
install.packages('GDAtools', repos = c('https://nicolas-robette.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nicolas-robette/gdatools/issues
Last updated 6 months agofrom:b300385aa0. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win | NOTE | Nov 06 2024 |
R-4.5-linux | NOTE | Nov 06 2024 |
R-4.4-win | NOTE | Nov 06 2024 |
R-4.4-mac | NOTE | Nov 06 2024 |
R-4.3-win | OK | Nov 06 2024 |
R-4.3-mac | OK | Nov 06 2024 |
Exports:ahc.plotsangles.csaassoc.catcontassoc.twocatassoc.twocontassoc.yxbarplot_contribbcMCAbcPCAbootvalid_supvarsbootvalid_variablesburtcatdesccoiMCAcoiPCAconc.ellipsecondesccontribcsMCADADAQdarmadichotomdichotomixeddimcontribdimdescrdimeta2dimtypicalitydist.chi2flip.mcagetindexcatggadd_attractionsggadd_chullsggadd_corrggadd_densityggadd_ellipsesggadd_interactionggadd_kellipsesggadd_supindggadd_supvarggadd_supvarsggassoc_boxplotggassoc_crosstabggassoc_phiplotggassoc_scatterggaxis_variablesggbootvalid_supvarsggbootvalid_variablesggcloud_indivggcloud_variablesggeta2_variablesggsmoothed_supvargPCAhomog.testijunkindsupMCAivMCAoivmedoidsmodif.ratemultiMCAnsCAnsca.biplotPCAivPCAoivpemphi.tableplanecontribplot.csMCAplot.multiMCAplot.speMCAplot.stMCAquadrantquasindeprvcoefscaled.devspeMCAstMCAsupindsupvarsupvarstabcontribtextindsuptextvarsuptranslate.logitvarsupvarsupswcMCAwcPCAwtable
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdescriptiodigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml