Package: anacor 1.1-4

Patrick Mair

anacor: Simple and Canonical Correspondence Analysis

Performs simple and canonical CA (covariates on rows/columns) on a two-way frequency table (with missings) by means of SVD. Different scaling methods (standard, centroid, Benzecri, Goodman) as well as various plots including confidence ellipsoids are provided.

Authors:Patrick Mair [aut, cre], Jan De Leeuw [aut]

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anacor.pdf |anacor.html✨
anacor/json (API)

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

Bug tracker:https://r-forge.r-project.org/projects/psychor

Datasets:

On CRAN:

3.50 score 21 scripts 431 downloads 1 mentions 4 exports 82 dependencies

Last updated 2 months agofrom:869a9b1810. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 09 2025
R-4.5-winOKFeb 09 2025
R-4.5-macOKFeb 09 2025
R-4.5-linuxOKFeb 09 2025
R-4.4-winOKFeb 09 2025
R-4.4-macOKFeb 09 2025
R-4.3-winOKFeb 09 2025
R-4.3-macOKFeb 09 2025

Exports:anacorburtTableexpandFramemkIndiList

Dependencies:abindashbackportsbitopsbootbroomcarcarDatacliclustercolorspacecowplotcpp11DerivdeSolvedoBydplyrfansifarverfdafdsFNNFormulagenericsggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagrittrMASSMatrixMatrixModelsmclustmgcvmicrobenchmarkminqamodelrmulticoolmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpcaPPpillarpkgconfigpracmapurrrquantregR6rainbowrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr