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:
robust_0.7-5.tar.gz
robust_0.7-5.zip(r-4.5)robust_0.7-5.zip(r-4.4)robust_0.7-5.zip(r-4.3)
robust_0.7-5.tgz(r-4.4-x86_64)robust_0.7-5.tgz(r-4.4-arm64)robust_0.7-5.tgz(r-4.3-x86_64)robust_0.7-5.tgz(r-4.3-arm64)
robust_0.7-5.tar.gz(r-4.5-noble)robust_0.7-5.tar.gz(r-4.4-noble)
robust_0.7-5.tgz(r-4.4-emscripten)robust_0.7-5.tgz(r-4.3-emscripten)
robust.pdf |robust.html✨
robust/json (API)
NEWS
# Install 'robust' in R: |
install.packages('robust', repos = c('https://valentint.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/valentint/robust/issues
- breslow.dat - Breslow Data
- leuk.dat - Leuk Data
- mallows.dat - Mallows Data
- stack.dat - Brownlee's Stack-Loss Data
- woodmod.dat - Modified Wood Data
Last updated 3 months agofrom:af6348d9f3. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win-x86_64 | OK | Nov 15 2024 |
R-4.5-linux-x86_64 | OK | Nov 15 2024 |
R-4.4-win-x86_64 | OK | Nov 15 2024 |
R-4.4-mac-x86_64 | OK | Nov 15 2024 |
R-4.4-mac-aarch64 | OK | Nov 15 2024 |
R-4.3-win-x86_64 | OK | Nov 15 2024 |
R-4.3-mac-x86_64 | OK | Nov 15 2024 |
R-4.3-mac-aarch64 | OK | Nov 15 2024 |
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