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: 1.4.0
Imports: JuliaCall, stringr, rlang, lifecycle
Suggests: testthat, covr, xml2
Published: 2020-12-09
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: yes
SystemRequirements: Julia (>= 1.0) and Interpretable AI System Image (>= 1.0.0)
Materials: README NEWS
In views: MissingData
CRAN checks: iai results


Reference manual: iai.pdf
Package source: iai_1.4.0.tar.gz
Windows binaries: r-devel: iai_1.4.0.zip, r-release: iai_1.4.0.zip, r-oldrel: iai_1.4.0.zip
macOS binaries: r-release: iai_1.4.0.tgz, r-oldrel: iai_1.4.0.tgz
Old sources: iai archive


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