# Robust Statistics: Theory and Methods

## Documentation for package ‘RobStatTM’ version 1.0.11

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

alcohol | Alcohol data
algae | Algae data
biochem | Biochem data
bisquare | Tuning parameter the rho loss functions
breslow.dat | Breslow Data
bus | Bus data
BYlogreg | Bianco and Yohai estimator for logistic regression
cov.dcml | Approximate covariance matrix of the DCML regression estimator.
covClassic | Classical Covariance Estimation
covRob | Robust multivariate location and scatter estimators
covRobMM | MM robust multivariate location and scatter estimator
covRobRocke | Rocke's robust multivariate location and scatter estimator
DCML | DCML regression estimator
drop1.lmrobdetMM | RFPE of submodels of an 'lmrobdetMM' fit
fastmve | Minimum Volume Ellipsoid covariance estimator
flour | Flour data
glass | Glass data
hearing | Hearing data
huber | Tuning parameter the rho loss functions
image | Image data
initPP | Robust multivariate location and scatter estimators
INVTR2 | Robust R^2 coefficient of determination
KurtSDNew | Robust multivariate location and scatter estimators
leuk.dat | Leukemia Data
lmrobdet.control | Tuning parameters for lmrobdetMM and lmrobdetDCML
lmrobdetDCML | Robust Distance Constrained Maximum Likelihood estimators for linear regression
lmrobdetLinTest | Robust likelihood ratio test for linear hypotheses
lmrobdetMM | Robust Linear Regression Estimators
lmrobdetMM.RFPE | Robust Final Prediction Error
lmrobM | Robust estimators for linear regression with fixed designs
lmrobM.control | Tuning parameters for lmrobM
locScaleM | Robust univariate location and scale M-estimators
logregBY | Bianco and Yohai estimator for logistic regression
logregWBY | Bianco and Yohai estimator for logistic regression
logregWML | Weighted likelihood estimator for the logistic model
mineral | Mineral data
MLocDis | Robust univariate location and scale M-estimators
MMPY | MM regression estimator using Pen~a-Yohai candidates
MMultiSHR | MM robust multivariate location and scatter estimator
mopt | Tuning parameter for a rho function in the modified (asymptotic bias-) optimal family
moptv0 | Tuning parameter for a rho function in the modified (asymptotic bias-) optimal family
Multirobu | Robust multivariate location and scatter estimators
neuralgia | Neuralgia data
oats | Oats data
opt | Tuning parameter for a rho function in the (asymptotic bias-) optimal family
optv0 | Tuning parameter for a rho function in the (asymptotic bias-) optimal family
pcaRobS | Robust principal components
prcompRob | Robust Principal Components Cont'd
refine.sm | IRWLS iterations for S- or M-estimators
resex | Resex data
rho | Rho functions
rhoprime | The first derivative of the rho function
rhoprime2 | The second derivative of the rho function
rob.linear.test | Robust likelihood ratio test for linear hypotheses
RockeMulti | Rocke's robust multivariate location and scatter estimator
scaleM | M-scale estimator
shock | Shock data
skin | Skin data
SMPCA | Robust principal components
SMPY | SM regression estimator using Pen~a-Yohai candidates
stackloss | Stackloss data
step.lmrobdet | Robust stepwise using RFPE
step.lmrobdetMM | Robust stepwise using RFPE
vehicle | Vehicle data
waste | Waste data
WBYlogreg | Bianco and Yohai estimator for logistic regression
wine | Wine data
WMLlogreg | Weighted likelihood estimator for the logistic model