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oda  

Pure-R Core Engine for Optimal Data Analysis (ODA / MultiODA)
View on CRAN: Click here


Download and install oda package within the R console
Install from CRAN:
install.packages("oda")

Install from Github:
library("remotes")
install_github("cran/oda")

Install by package version:
library("remotes")
install_version("oda", "0.1.2")



Attach the package and use:
library("oda")
Maintained by
Nathaniel Rhodes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-17
Latest Update: 2026-06-17
Description:
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.
How to cite:
Nathaniel Rhodes (2026). oda: Pure-R Core Engine for Optimal Data Analysis (ODA / MultiODA). R package version 0.1.2, https://cran.r-project.org/web/packages/oda. Accessed 07 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for oda
Functions, R codes and Examples using the oda R package
Full oda package functions and examples
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