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Provides several methods for model distillation and interpretability for general black box machine learning models and treatment effect estimation methods. For details on the algorithms implemented, see <https://forestry-labs.github.io/distillML/index.html> Brian Cho, Theo F. Saarinen, Jasjeet S. Sekhon, Simon Walter.
| Version: | 0.1.0.13 |
| Imports: | ggplot2, glmnet, Rforestry, dplyr, R6 (≥ 2.0), checkmate, purrr, tidyr, data.table, mltools, gridExtra |
| Suggests: | testthat, knitr, rmarkdown, mvtnorm |
| Published: | 2023-03-25 |
| Author: | Brian Cho [aut], Theo Saarinen [aut, cre], Jasjeet Sekhon [aut], Simon Walter [aut] |
| Maintainer: | Theo Saarinen <theo_s at berkeley.edu> |
| BugReports: | https://github.com/forestry-labs/distillML/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/forestry-labs/distillML |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | distillML results |
| Reference manual: | distillML.pdf |
| Package source: | distillML_0.1.0.13.tar.gz |
| Windows binaries: | r-devel: distillML_0.1.0.13.zip, r-release: distillML_0.1.0.13.zip, r-oldrel: distillML_0.1.0.13.zip |
| macOS binaries: | r-release (arm64): distillML_0.1.0.13.tgz, r-oldrel (arm64): distillML_0.1.0.13.tgz, r-release (x86_64): distillML_0.1.0.13.tgz, r-oldrel (x86_64): distillML_0.1.0.13.tgz |
| Old sources: | distillML archive |
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These binaries (installable software) and packages are in development.
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