earth: Multivariate Adaptive Regression Splines

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:

Reference manual:

earth.pdf

Downloads:

Package source:	earth_5.3.4.tar.gz
Windows binaries:	r-devel: earth_5.3.4.zip, r-release: earth_5.3.4.zip, r-oldrel: earth_5.3.4.zip
macOS binaries:	r-release (arm64): earth_5.3.4.tgz, r-oldrel (arm64): earth_5.3.4.tgz, r-release (x86_64): earth_5.3.4.tgz, r-oldrel (x86_64): earth_5.3.4.tgz
Old sources:	earth archive

Reverse dependencies:

Reverse depends:	MARSANNhybrid, MARSSVRhybrid
Reverse imports:	BPRMeth, bujar, CEEMDANML, cmaRs, ecm, finnts, gbts, invacost, MARSGWR, moderate.mediation, nlnet, pheble, pre, rbooster, SSDM, tehtuner, tsensembler, viralx, 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, qvirus, r2pmml, rpart.plot, spatialEco, subsemble, SuperLearner, superMICE, tidypredict, tidysdm, viraldomain, viralmodels
Reverse enhances:	prediction, vip

Linking:

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