Package: robust 0.7-5

robust: Port of the S+ "Robust Library"

Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.

Authors:Jiahui Wang [aut], Ruben Zamar [aut], Alfio Marazzi [aut], Victor Yohai [aut], Matias Salibian-Barrera [aut], Ricardo Maronna [aut], Eric Zivot [aut], David Rocke [aut], Doug Martin [aut], Martin Maechler [aut], Kjell Konis [aut], Valentin Todorov [aut, cre]

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Bug tracker:https://github.com/valentint/robust/issues

On CRAN:

54 exports 3.87 score 8 dependencies 7 dependents 19 mentions 526 scripts 5.6k downloads

Last updated 1 months agofrom:af6348d9f3. Checks:OK: 9. Indexed: yes.

Exports:anova.glmRobanova.glmRoblistanova.lmRobanova.lmRoblistchi.weightcovClassiccovRobcovRob.controldrop1.lmRobfitdstnfitdstnRobgammaRobgammaRob.controlgen.dataglmRobglmRob.controlglmRob.cubifglmRob.cubif.controlglmRob.mallowsglmRob.mallows.controlglmRob.misclassglmRob.misclass.controllmRoblmRob.controllmRob.fitlmRob.fit.computelmRob.RFPElmRob.wfitlognormRoblognormRob.controllsRobTestoverlaidDenPlot.fdfmplot.covClassicplot.covRobplot.fdfmplot.glmRobplot.lmRobpredict.glmRobpredict.lmRobpsi.weightpsp.weightqqPlot.fdfmrb.lmRobresiduals.glmRobrho.weightstep.lmRobsummary.covClassicsummary.covRobsummary.glmRobsummary.lmRobtest.lmRobupdate.lmRobweibullRobweibullRob.control

Dependencies:DEoptimRfit.modelslatticeMASSmvtnormpcaPProbustbaserrcov