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: 5.3.4 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: 2024-10-05 DOI: 10.32614/CRAN.package.earth Author: Stephen Milborrow [aut, cre], Trevor Hastie [aut], Rob Tibshirani [aut], Alan Miller [ctb], Thomas Lumley [ctb] 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 Documentation: Downloads: Reverse dependencies: Reverse depends: MARSANNhybrid, MARSSVRhybrid, NumericEnsembles Reverse imports: BPRMeth, bujar, CEEMDANML, cmaRs, ecm, finnts, gbts, invacost, MARSGWR, moderate.mediation, nlnet, postcard, pre, rbooster, SSDM, tehtuner, tsensembler, viraldomain, voi, WaveletML Reverse suggests: baguette, binst, BiodiversityR, biomod2, biotmle, butcher, caret, caretEnsemble, CausalGPS, discrim, easyalluvial, eclust, fastshap, flowml, fscaret, healthyR.ts, imputeR, IRon, joinet, MachineShop, mda, mistyR, mlr, mlrMBO, modeltime, modeltime.ensemble, parsnip, pdp, plotmo, r2pmml, rpart.plot, spatialEco, subsemble, SuperLearner, superMICE, tidypredict, tidysdm, viralmodels, viralx Reverse enhances: prediction, vip Linking:Please use the canonical form https://CRAN.R-project.org/package=earth to link to this page.
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