| adjbox |
Plot an Adjusted Boxplot for Skew Distributions |
| adjbox.default |
Plot an Adjusted Boxplot for Skew Distributions |
| adjbox.formula |
Plot an Adjusted Boxplot for Skew Distributions |
| adjboxStats |
Statistics for Skewness-adjusted Boxplots |
| adjOutlyingness |
Compute (Skewness-adjusted) Multivariate Outlyingness |
| aircraft |
Aircraft Data |
| airmay |
Air Quality Data |
| alcohol |
Alcohol Solubility in Water Data |
| ambientNOxCH |
Daily Means of NOx (mono-nitrogen oxides) in air |
| Animals2 |
Brain and Body Weights for 65 Species of Land Animals |
| anova.glmrob |
Analysis of Robust Quasi-Deviance for "glmrob" Objects |
| anova.lmrob |
Analysis of Robust Deviances ('anova') for "lmrob" Objects |
| carrots |
Insect Damages on Carrots |
| chgDefaults |
Change Defaults (Parameters) of "Psi Function" Objects |
| chgDefaults-method |
Change Defaults (Parameters) of "Psi Function" Objects |
| chgDefaults-methods |
Change Defaults (Parameters) of "Psi Function" Objects |
| classPC |
Compute Classical Principal Components via SVD or Eigen |
| cloud |
Cloud point of a Liquid |
| coleman |
Coleman Data Set |
| colMedians |
Fast Row or Column-wise Medians of a Matrix |
| COM |
Co-Median Location and Scatter "Covariance" Estimator |
| comedian |
Co-Median Location and Scatter "Covariance" Estimator |
| condroz |
Condroz Data |
| covComed |
Co-Median Location and Scatter "Covariance" Estimator |
| covGK |
Orthogonalized Gnanadesikan-Kettenring (OGK) Covariance Matrix Estimation |
| covMcd |
Robust Location and Scatter Estimation via MCD |
| covOGK |
Orthogonalized Gnanadesikan-Kettenring (OGK) Covariance Matrix Estimation |
| covPlot |
Robust Distance Plots |
| CrohnD |
Crohn's Disease Adverse Events Data |
| cushny |
Cushny and Peebles Prolongation of Sleep Data |
| lactic |
Lactic Acid Concentration Measurement Data |
| lmrob |
MM-type Estimators for Linear Regression |
| lmrob..D..fit |
Compute Design Adaptive Scale estimate |
| lmrob..M..fit |
Compute M-estimators of regression |
| lmrob.control |
Tuning Parameters for lmrob() and Auxiliaries |
| lmrob.fit |
MM-type estimator for regression |
| lmrob.fit.MM |
MM-type estimator for regression |
| lmrob.lar |
Least Absolute Residuals / L1 Regression |
| lmrob.M.S |
M-S regression estimators |
| lmrob.S |
S-regression estimators |
| los |
Length of Stay Data |
| ltsPlot |
Robust LTS Regression Diagnostic Plots |
| ltsReg |
Least Trimmed Squares Robust (High Breakdown) Regression |
| ltsReg.default |
Least Trimmed Squares Robust (High Breakdown) Regression |
| ltsReg.formula |
Least Trimmed Squares Robust (High Breakdown) Regression |
| nlrob |
Robust Fitting of Nonlinear Regression Models |
| nlrob.algorithms |
MM-, Tau-, CM-, and MTL- Estimators for Nonlinear Robust Regression |
| nlrob.CM |
MM-, Tau-, CM-, and MTL- Estimators for Nonlinear Robust Regression |
| nlrob.control |
Control Nonlinear Robust Regression Algorithms |
| nlrob.MM |
MM-, Tau-, CM-, and MTL- Estimators for Nonlinear Robust Regression |
| nlrob.mtl |
MM-, Tau-, CM-, and MTL- Estimators for Nonlinear Robust Regression |
| nlrob.tau |
MM-, Tau-, CM-, and MTL- Estimators for Nonlinear Robust Regression |
| NOxEmissions |
NOx Air Pollution Data |
| salinity |
Salinity Data |
| scaleTau2 |
Robust Tau-Estimate of Scale |
| SiegelsEx |
Siegel's Exact Fit Example Data |
| sigma |
Extract 'Sigma' - Standard Deviation of Errors for Robust Models |
| sigma.lmrob |
Extract 'Sigma' - Standard Deviation of Errors for Robust Models |
| smoothWgt |
Smooth Weighting Function - Generalized Biweight |
| Sn |
Robust Location-Free Scale Estimate More Efficient than MAD |
| splitFrame |
Split Continuous and Categorical Predictors |
| starsCYG |
Hertzsprung-Russell Diagram Data of Star Cluster CYG OB1 |
| steamUse |
Steam Usage Data (Excerpt) |
| summarizeRobWeights |
Print a Nice "summary" of Robustness Weights |
| summary.glmrob |
Summarizing Robust Fits of Generalized Linear Models |
| summary.lmrob |
Summary Method for "lmrob" Objects |
| summary.lts |
Summary Method for LTS objects |
| summary.mcd |
Summary Method for MCD objects |
| summary.nlrob |
Summarizing Robust Fits of Nonlinear Regression Models |
| s_IQR |
Orthogonalized Gnanadesikan-Kettenring (OGK) Covariance Matrix Estimation |
| s_mad |
Orthogonalized Gnanadesikan-Kettenring (OGK) Covariance Matrix Estimation |
| s_Qn |
Robust Location-Free Scale Estimate More Efficient than MAD |
| s_Sn |
Robust Location-Free Scale Estimate More Efficient than MAD |
| .lmrob.hat |
Summary Method for "lmrob" Objects |
| .MCDcnp2 |
Robust Location and Scatter Estimation via MCD |
| .MCDcnp2.rew |
Robust Location and Scatter Estimation via MCD |
| .MCDcons |
Robust Location and Scatter Estimation via MCD |
| .MCDsingularityMsg |
Robust Location and Scatter Estimation via MCD |
| .Mchi |
Psi / Chi / Wgt / Rho Functions for *M-Estimation |
| .Mchi.tuning.default |
Tuning Parameters for lmrob() and Auxiliaries |
| .Mchi.tuning.defaults |
Tuning Parameters for lmrob() and Auxiliaries |
| .Mpsi |
Psi / Chi / Wgt / Rho Functions for *M-Estimation |
| .Mpsi.tuning.default |
Tuning Parameters for lmrob() and Auxiliaries |
| .Mpsi.tuning.defaults |
Tuning Parameters for lmrob() and Auxiliaries |
| .MrhoInf |
Psi / Chi / Wgt / Rho Functions for *M-Estimation |
| .Mwgt |
Psi / Chi / Wgt / Rho Functions for *M-Estimation |
| .Mwgt.psi1 |
Psi / Chi / Wgt / Rho Functions for *M-Estimation |
| .psi.const |
Find Tuning Constant(s) for "lqq" and "ggw" Psi Functions |
| .psi.ggw.findc |
Find Tuning Constant(s) for "lqq" and "ggw" Psi Functions |
| .psi.lqq.findc |
Find Tuning Constant(s) for "lqq" and "ggw" Psi Functions |
| .psi2ipsi |
Psi / Chi / Wgt / Rho Functions for *M-Estimation |
| .vcov.avar1 |
MM-type Estimators for Linear Regression |
| .vcov.w |
MM-type Estimators for Linear Regression |
| .wgtFUN.covComed |
Co-Median Location and Scatter "Covariance" Estimator |
| .wgtFUN.covMcd |
Robust Location and Scatter Estimation via MCD |