iai: Interface to 'Interpretable AI' Modules

An interface to the algorithms of 'Interpretable AI' <https://www.interpretable.ai> from the R programming language. 'Interpretable AI' provides various modules, including 'Optimal Trees' for classification, regression, prescription and survival analysis, 'Optimal Imputation' for missing data imputation and outlier detection, and 'Optimal Feature Selection' for exact sparse regression. The 'iai' package is an open-source project. The 'Interpretable AI' software modules are proprietary products, but free academic and evaluation licenses are available.

Version: 1.1.0
Imports: JuliaCall, stringr, rlang
Suggests: testthat, covr
Published: 2019-09-13
Author: Jack Dunn [aut, cre], Ying Zhuo [aut], Interpretable AI LLC [cph]
Maintainer: Jack Dunn <jack at interpretable.ai>
License: MIT + file LICENSE
URL: https://www.interpretable.ai
NeedsCompilation: no
SystemRequirements: Julia (>= 1.0) and Interpretable AI System Image (>= 1.0.0)
Materials: README NEWS
CRAN checks: iai results

Downloads:

Reference manual: iai.pdf
Package source: iai_1.1.0.tar.gz
Windows binaries: r-devel: iai_1.1.0.zip, r-devel-gcc8: iai_1.1.0.zip, r-release: iai_1.1.0.zip, r-oldrel: iai_1.1.0.zip
OS X binaries: r-release: iai_1.1.0.tgz, r-oldrel: iai_1.1.0.tgz
Old sources: iai archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=iai to link to this page.