Pure-R Core Engine for Optimal Data Analysis (ODA / MultiODA)

Pure-R implementation of univariate binary-class ODA (UniODA), univariate multiclass ODA (MultiODA), and binary Classification Tree Analysis (CTA). Supports ordered and categorical attributes, priors-on inverse-frequency weighting, MAXSENS / SAMPLEREP / first-identified tie-breaking, true leave-one-out cross-validation, and Monte Carlo Fisher-randomization p-values. Covered UniODA, MultiODA, and binary CTA fixtures are tested for parity against MegaODA.exe and CTA.exe outputs.


Reference manual

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install.packages("oda")

0.1.2 by Nathaniel Rhodes, 4 months ago


https://njrhodes.github.io/oda_r/, https://github.com/njrhodes/oda_r


Report a bug at https://github.com/njrhodes/oda_r/issues


Browse source code at https://github.com/cran/oda


Authors: Nathaniel Rhodes [aut, cre] , Paul Yarnold [ctb, cph]


Documentation:   PDF Manual  


GPL-3 license


Imports graphics, grDevices, stats, utils

Suggests testthat, knitr, rmarkdown, pkgdown, ggplot2, patchwork


See at CRAN