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: 5.1.2
Depends: R (≥ 3.4.0), Formula (≥ 1.2-3), plotmo (≥ 3.5.4), TeachingDemos (≥ 2.10)
Suggests: gam (≥ 1.16), mgcv (≥ 1.8-26), mda (≥ 0.4-10), MASS (≥ 7.3-51)
Published: 2019-11-09
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, Multivariate
CRAN checks: earth results

Downloads:

Reference manual: earth.pdf
Package source: earth_5.1.2.tar.gz
Windows binaries: r-devel: earth_5.1.2.zip, r-devel-gcc8: earth_5.1.2.zip, r-release: earth_5.1.2.zip, r-oldrel: earth_5.1.2.zip
OS X binaries: r-release: earth_5.1.2.tgz, r-oldrel: earth_5.1.2.tgz
Old sources: earth archive

Reverse dependencies:

Reverse depends: emma
Reverse imports: biomod2, bujar, CONDOP, gbts, mopa, pre, SSDM, tsensembler
Reverse suggests: binst, BiodiversityR, butcher, caret, discrim, drtmle, eclust, ElemStatLearn, fastshap, fscaret, imputeR, MachineShop, mda, mlr, mlrMBO, parsnip, pdp, plotmo, r2pmml, rpart.plot, SuperLearner, tidypredict, vip
Reverse enhances: prediction

Linking:

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