treemisc: Data Sets and Functions to Accompany "Tree-Based Methods for Statistical Learning in R"
Miscellaneous data sets and functions to accompany Greenwell (2022) "Tree-Based Methods for Statistical Learning in R" <doi:10.1201/9781003089032>.
| Version: | 0.0.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | Matrix, Rcpp (≥ 1.0.1), rpart, stats, utils |
| LinkingTo: | Rcpp |
| Suggests: | AmesHousing, gbm, glmnet (≥ 3.0), graphics, mlbench, party, partykit, randomForest, ranger, rpart.plot, tinytest |
| Published: | 2022-10-19 |
| Author: | Brandon M. Greenwell
 [aut, cre] |
| Maintainer: | Brandon M. Greenwell <greenwell.brandon at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | treemisc results |
Documentation:
| Reference manual: | treemisc.pdf |
Downloads:
| Package source: | treemisc_0.0.1.tar.gz |
| Windows binaries: | r-devel: treemisc_0.0.1.zip, r-release: treemisc_0.0.1.zip, r-oldrel: treemisc_0.0.1.zip |
| macOS binaries: | r-release (arm64): treemisc_0.0.1.tgz, r-oldrel (arm64): treemisc_0.0.1.tgz, r-release (x86_64): treemisc_0.0.1.tgz, r-oldrel (x86_64): treemisc_0.0.1.tgz |
Linking:
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