Package: RobStatTM 1.0.11

RobStatTM: Robust Statistics: Theory and Methods

Companion package for the book: "Robust Statistics: Theory and Methods, second edition", <http://www.wiley.com/go/maronna/robust>. This package contains code that implements the robust estimators discussed in the recent second edition of the book above, as well as the scripts reproducing all the examples in the book.

Authors:Matias Salibian-Barrera [cre], Victor Yohai [aut], Ricardo Maronna [aut], Doug Martin [aut], Gregory Brownson [aut], Kjell Konis [aut], Kjell Konis [cph], Christophe Croux [ctb], Gentiane Haesbroeck [ctb], Martin Maechler [cph], Manuel Koller [cph], Matias Salibian-Barrera [aut]

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RobStatTM.pdf |RobStatTM.html✨
RobStatTM/json (API)
NEWS

# Install 'RobStatTM' in R:
install.packages('RobStatTM', repos = c('https://msalibian.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/msalibian/robstattm/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

9.40 score 16 stars 7 packages 86 scripts 2.9k downloads 1 mentions 46 exports 7 dependencies

Last updated 1 months agofrom:0da7ed4acf. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-win-x86_64OKNov 15 2024
R-4.5-linux-x86_64OKNov 15 2024
R-4.4-win-x86_64OKNov 15 2024
R-4.4-mac-x86_64OKNov 15 2024
R-4.4-mac-aarch64OKNov 15 2024
R-4.3-win-x86_64OKNov 15 2024
R-4.3-mac-x86_64OKNov 15 2024
R-4.3-mac-aarch64OKNov 15 2024

Exports:bisquareBYlogregcov.dcmlcovClassiccovRobcovRobMMcovRobRockeDCMLfastmvehuberinitPPINVTR2KurtSDNewlmrobdet.controllmrobdetDCMLlmrobdetLinTestlmrobdetMMlmrobdetMM.RFPElmrobMlmrobM.controllocScaleMlogregBYlogregWBYlogregWMLMLocDisMMPYMMultiSHRmoptmoptv0Multirobuoptoptv0pcaRobSprcompRobrefine.smrhorhoprimerhoprime2rob.linear.testRockeMultiscaleMSMPCASMPYstep.lmrobdetMMWBYlogregWMLlogreg

Dependencies:DEoptimRlatticemvtnormpcaPPpyinitrobustbaserrcov

Optimal Bias Robust Regression Psi and Rho

Rendered fromOptimalBiasRobustRegressionPsiandRho.pdf.asisusingR.rsp::asison Nov 15 2024.

Last update: 2023-04-05
Started: 2023-04-05

Polynomial Opt and mOpt Rho Functions in RobStatTM

Rendered fromPolynomialOptandmOptRhoFunctions.pdf.asisusingR.rsp::asison Nov 15 2024.

Last update: 2023-04-05
Started: 2023-04-05

RobStatTM Package Vignette

Rendered fromVignetteRobStatTM.pdf.asisusingR.rsp::asison Nov 15 2024.

Last update: 2021-11-11
Started: 2020-02-18

Using the fit.models Package with RobStatTM

Rendered fromfitmodelsusingRobStatTM.pdf.asisusingR.rsp::asison Nov 15 2024.

Last update: 2021-11-11
Started: 2021-11-11

Readme and manuals

Help Manual

Help pageTopics
Alcohol dataalcohol
Algae dataalgae
Biochem databiochem
Tuning parameter the rho loss functionsbisquare
Breslow Databreslow.dat
Bus databus
Approximate covariance matrix of the DCML regression estimator.cov.dcml
Classical Covariance EstimationcovClassic
Robust multivariate location and scatter estimatorscovRob Multirobu
MM robust multivariate location and scatter estimatorcovRobMM MMultiSHR
Rocke's robust multivariate location and scatter estimatorcovRobRocke RockeMulti
DCML regression estimatorDCML
RFPE of submodels of an 'lmrobdetMM' fitdrop1.lmrobdetMM
Minimum Volume Ellipsoid covariance estimatorfastmve
Flour dataflour
Glass dataglass
Hearing datahearing
Tuning parameter the rho loss functionshuber
Image dataimage
Robust multivariate location and scatter estimatorsinitPP KurtSDNew
Robust R^2 coefficient of determinationINVTR2
Leukemia Dataleuk.dat
Tuning parameters for lmrobdetMM and lmrobdetDCMLlmrobdet.control
Robust Distance Constrained Maximum Likelihood estimators for linear regressionlmrobdetDCML
Robust likelihood ratio test for linear hypotheseslmrobdetLinTest rob.linear.test
Robust Linear Regression EstimatorslmrobdetMM
Robust Final Prediction ErrorlmrobdetMM.RFPE
Robust estimators for linear regression with fixed designslmrobM
Tuning parameters for lmrobMlmrobM.control
Robust univariate location and scale M-estimatorslocScaleM MLocDis
Bianco and Yohai estimator for logistic regressionBYlogreg logregBY
Bianco and Yohai estimator for logistic regressionlogregWBY WBYlogreg
Weighted likelihood estimator for the logistic modellogregWML WMLlogreg
Mineral datamineral
MM regression estimator using Pen~a-Yohai candidatesMMPY
Tuning parameter for a rho function in the modified (asymptotic bias-) optimal familymopt
Tuning parameter for a rho function in the modified (asymptotic bias-) optimal familymoptv0
Neuralgia dataneuralgia
Oats dataoats
Tuning parameter for a rho function in the (asymptotic bias-) optimal familyopt
Tuning parameter for a rho function in the (asymptotic bias-) optimal familyoptv0
Robust principal componentspcaRobS SMPCA
Robust Principal Components Cont'dprcompRob
IRWLS iterations for S- or M-estimatorsrefine.sm
Resex dataresex
Rho functionsrho
The first derivative of the rho functionrhoprime
The second derivative of the rho functionrhoprime2
M-scale estimatorscaleM
Shock datashock
Skin dataskin
SM regression estimator using Pen~a-Yohai candidatesSMPY
Stackloss datastackloss
Robust stepwise using RFPEstep.lmrobdet step.lmrobdetMM
Vehicle datavehicle
Waste datawaste
Wine datawine