Provides a 'parsnip' engine for the 'midr' package, enabling users to fit, tune, and evaluate Maximum Interpretation Decomposition (MID) models within the 'tidymodels' framework. Developed through research by the Moonlight Seminar 2025, a study group of actuaries from the Institute of Actuaries of Japan, to enhance practical applications of interpretable modeling. Detailed methodology is available in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.
| Version: | 0.2.0 |
| Imports: | graphics, midr (≥ 0.6.0), rlang, Rcpp, stats, utils |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | colormap, DALEX, ggbeeswarm, ggforce, ggplot2, MetBrewer, parsnip |
| Published: | 2026-04-09 |
| DOI: | 10.32614/CRAN.package.midnight |
| Author: | Ryoichi Asashiba |
| Maintainer: | Ryoichi Asashiba <ryoichi.asashiba at gmail.com> |
| BugReports: | https://github.com/ryo-asashi/midnight/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ryo-asashi/midnight, https://ryo-asashi.github.io/midnight/ |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | midnight results |
| Reference manual: | midnight.html , midnight.pdf |
| Package source: | midnight_0.2.0.tar.gz |
| Windows binaries: | r-devel: midnight_0.2.0.zip, r-release: midnight_0.2.0.zip, r-oldrel: midnight_0.2.0.zip |
| macOS binaries: | r-release (arm64): midnight_0.2.0.tgz, r-oldrel (arm64): midnight_0.2.0.tgz, r-release (x86_64): midnight_0.2.0.tgz, r-oldrel (x86_64): midnight_0.2.0.tgz |
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