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: |
1.10.2 |
| Imports: |
JuliaCall (≥ 0.17.5), stringr, rlang, lifecycle, rappdirs, ggplot2, cowplot, rjson |
| Suggests: |
testthat, covr, xml2, withr |
| Published: |
2024-10-18 |
| DOI: |
10.32614/CRAN.package.iai |
| 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 |
| In views: |
MissingData |
| CRAN checks: |
iai results |
Documentation:
Downloads:
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