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Build regression models using the techniques in Friedman's papers "Fast MARS" and "Multivariate Adaptive Regression Splines" <doi:10.1214/aos/1176347963>. (The term "MARS" is trademarked and thus not used in the name of the package.)
| Version: | 5.3.3 |
| Depends: | R (≥ 3.4.0), Formula (≥ 1.2-3), plotmo (≥ 3.6.0) |
| Suggests: | gam (≥ 1.20), mgcv (≥ 1.8-26), mda (≥ 0.5-2), MASS (≥ 7.3-51) |
| Published: | 2024-02-26 |
| Author: | Stephen Milborrow. Derived from mda:mars by Trevor Hastie and Rob Tibshirani. Uses Alan Miller's Fortran utilities with Thomas Lumley's leaps wrapper. |
| Maintainer: | Stephen Milborrow <milbo at sonic.net> |
| License: | GPL-3 |
| URL: | http://www.milbo.users.sonic.net/earth/ |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | Environmetrics, MachineLearning |
| CRAN checks: | earth results |
| Reference manual: | earth.pdf |
| Package source: | earth_5.3.3.tar.gz |
| Windows binaries: | r-devel: earth_5.3.3.zip, r-release: earth_5.3.3.zip, r-oldrel: earth_5.3.3.zip |
| macOS binaries: | r-release (arm64): earth_5.3.3.tgz, r-oldrel (arm64): earth_5.3.3.tgz, r-release (x86_64): earth_5.3.3.tgz, r-oldrel (x86_64): earth_5.3.3.tgz |
| Old sources: | earth archive |
| Reverse depends: | MARSANNhybrid, MARSSVRhybrid |
| Reverse imports: | biomod2, BPRMeth, bujar, CEEMDANML, cmaRs, ecm, finnts, gbts, invacost, MARSGWR, moderate.mediation, nlnet, pheble, pre, rbooster, SSDM, tehtuner, tsensembler, viraldomain, viralmodels, viralx, voi, WaveletML |
| Reverse suggests: | baguette, binst, BiodiversityR, biotmle, butcher, caret, CausalGPS, discrim, easyalluvial, eclust, fastshap, flowml, fscaret, imputeR, IRon, LDLcalc, MachineShop, mda, mistyR, mlr, mlrMBO, modeltime, parsnip, pdp, plotmo, r2pmml, rpart.plot, spatialEco, subsemble, SuperLearner, superMICE, tidypredict, tidysdm |
| Reverse enhances: | joinet, prediction, vip |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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