robustbase0.99-4-1 package

Basic Robust Statistics

adjbox

Plot an Adjusted Boxplot for Skew Distributions

adjboxStats

Statistics for Skewness-adjusted Boxplots

adjOutlyingness

Compute (Skewness-adjusted) Multivariate Outlyingness

anova.glmrob

Analysis of Robust Quasi-Deviance for "glmrob" Objects

anova.lmrob

Analysis of Robust Deviances ('anova') for "lmrob" Objects

BYlogreg

Bianco-Yohai Estimator for Robust Logistic Regression

chgDefaults-methods

Change Defaults (Parameters) of "Psi Function" Objects

classPC

Compute Classical Principal Components via SVD or Eigen

colMedians

Fast Row or Column-wise Medians of a Matrix

covComed

Co-Median Location and Scatter "Covariance" Estimator

covMcd

Robust Location and Scatter Estimation via MCD

covOGK

Orthogonalized Gnanadesikan-Kettenring (OGK) Covariance Matrix Estimat...

covPlot

Robust Distance Plots

estimethod

Extract the Estimation Method 'Estimethod' from a Fitted Model

fullRank

Remove Columns (or Rows) From a Matrix to Make It Full Rank

functionX-class

Class "functionX" of Psi-like Vectorized Functions

functionXal-class

Class "functionXal" of Functionals (of Psi-like functions)

glmrob.control

Controlling Robust GLM Fitting by Different Methods

glmrob

Robust Fitting of Generalized Linear Models

h.alpha.n

Compute h, the subsample size for MCD and LTS

huberize

Huberization -- Bringing Outliers In

huberM

Safe (generalized) Huber M-Estimator of Location

lmc-rmc

Left and Right Medcouple, Robust Measures of Tail Weight

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.lar

Least Absolute Residuals / L1 Regression

lmrob.M.S

M-S regression estimators

lmrob

MM-type Estimators for Linear Regression

lmrob.S

S-regression estimators

ltsPlot

Robust LTS Regression Diagnostic Plots

ltsReg

Least Trimmed Squares Robust (High Breakdown) Regression

M.psi

Psi / Chi / Wgt / Rho Functions for *M-Estimation

mc

Medcouple, a Robust Measure of Skewness

nlrob-algos

MM-, Tau-, CM-, and MTL- Estimators for Nonlinear Robust Regression

nlrob.control

Control Nonlinear Robust Regression Algorithms

nlrob

Robust Fitting of Nonlinear Regression Models

outlierStats

Robust Regression Outlier Statistics

plot-methods

Plot an Object of the "Psi Function" Class

plot.lmrob

Plot Method for "lmrob" Objects

predict.glmrob

Predict Method for Robust GLM ("glmrob") Fits

predict.lmrob

Predict method for Robust Linear Model ("lmrob") Fits

print.lmrob

Print Method for Objects of Class "lmrob"

psi_func-class

Class of "Psi Functions" for M-Estimation

psiFindc

Find Tuning Constant(s) for "lqq" and "ggw" Psi Functions

psiFunc

Constructor for Objects "Psi Function" Class

Qn

Robust Location-Free Scale Estimate More Efficient than MAD

r6pack

Robust Distance based observation orderings based on robust "Six pack"

rankMM

Simple Matrix Rank

residuals.glmrob

Residuals of Robust Generalized Linear Model Fits

robustbase-internal

Internal Functions of Package 'robustbase'

rrcov.control

Control Settings for covMcd and ltsReg

scaleTau2

Robust Tau-Estimate of Scale

sigma

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

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

tolEllipsePlot

Tolerance Ellipse Plot

tukeyPsi1

Tukey's Bi-square Score (Psi) and "Chi" (Rho) Functions and Derivative...

weights.lmrob

Extract Robustness and Model Weights

wgt.himedian

Weighted Hi-Median

xtrData

Extreme Data examples

"Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.

  • Maintainer: Martin Maechler
  • License: GPL (>= 2)
  • Last published: 2024-09-27