Insightful Robust Library


[Package List] [Top]

Documentation for package `robust' version 0.2-0

Help Pages

.First.lib First Run
add1.lmRob Add Terms to a Robust Linear Model Object
anova.lmRob Compute and Anova table
anova.lmRob.list Compute and Anova Table
arg.names Argument Names
chi.weight Weight Functions
coef.lmfm Extract Model Coefficients
coef.lmRob Methods for lmRob Generic Functions
cov Classical Covariance Estimation
cov.mcd Fast MCD Estimation
covfmDistance2Plot Distance - Distance Plot
covfmEllipsesPlot Ellipses Plot
covfmScreePlot Screeplot
covfmSqrtMDPlot Square Root of Mahalanobis Distance Plot
covRob Robust Covariance/Correlation Matrix Estimation
covRob.control Control Parameters for Robust Covariance Estimation
deviance.lmRob Methods for lmRob Generic Functions
donostah Donoho-Stahel Covariance Estimation
drop1.lmRob Compute an Anova Object by Dropping Terms
fastcov Orthogonalised Pariwise Covariance Estimation
fit.models Model Comparison
formula.lmRob Methods for lmRob Generic Functions
gen.data Generate Data With Contamination
get.fit.models.database Model Comparison Database
key Plot Key
labels.lmRob Methods for lmRob Generic Functions
lmfm2DRegPlot Data with Fit
lmfmOverlaidQQPlot Overlaid QQ Plot
lmfmOverlaidResDenPlot Overlaid Residual Density Plot
lmfmResKernDenPlot Residual Kernel Density Plot
lmfmRespVsFittedPlot Response versus Fitted Values Plot
lmfmResQQPlot Residual QQ-Plots with Confidence Envelope
lmfmResVsFittedPlot Residuals versus Fitted Values Plot
lmfmSqrtResVsFittedPlot Squared Root of Residuals versus Fitted Values Plot
lmfmSRvsRDPlot Standardized Residuals versus Robust Distances Plot
lmfmStdResPlot Standardized Residual Plot
lmRob High Breakdown and High Efficiency Robust Linear Regression
lmRob.const Undocumented lmRob Helper Functions
lmRob.control Control Parameters for Robust Linear Regression
lmRob.eff0 Undocumented lmRob Helper Functions
lmRob.effad Undocumented lmRob Helper Functions
lmRob.effvy Constant for the Optimal Loss (Weight) Function
lmRob.fit Undocumented lmRob Helper Functions
lmRob.fit.compute Fit a Robust Linear Model
lmRob.ga Estimation of S-Estimates with Genetic Algorithm
lmRob.lar Undocumented lmRob Helper Functions
lmRob.object Robust Linear Model Objects
lmRob.RFPE Robust Final Prediction Errors
lmRob.ucovcoef Unscaled Covariance Matrix of Coefficient Estimates
lmRob.wfit Undocumented lmRob Helper Functions
lmRob.wm Undocumented lmRob Helper Functions
model.frame.lmRob Methods for lmRob Generic Functions
model.matrix.lmRob Methods for lmRob Generic Functions
panel.addons Add Extras to fit.models Plots
plot.cov Plot Method
plot.covfm Plot Method
plot.covRob Plot Method
plot.lmfm Comparison Plots for Linear Regression Models
plot.lmRob Diagnostic Regression Plots
predict.lmRob Use predict() on an lmRob Object
print.cov Print Method
print.covfm Print Method
print.covRob Print Method
print.lmfm Print Method for lmfm Objects
print.lmRob Print Method for lmRob Class Objects
print.summary.cov Print Method
print.summary.covfm Print Method
print.summary.covRob Print Method
print.summary.lmfm Print Methods for summary.lmfm Objects
print.summary.lmRob Print Method for summary.lmRob Class Objects
psi.weight Weight Functions
psp.weight Weight Functions
rb Robust Bootstrap Standard Errors
residuals.lmRob Methods for lmRob Generic Functions
rho.weight Weight Functions
rockem Contrained M-estimation
splus.assign Assign Translator
stack.dat Brownlee's Stack-Loss Data
step.lmRob Build a Model in a Stepwise Fashion
stop.on.bdObject Stop on Big Data Object
summary.cov Summary Method
summary.covfm Summary Method
summary.covRob Summary Method
summary.lmfm Summary Method for lmfm Objects
summary.lmRob Summarizing Robust Linear Model Fits
test.lmRob Various Tests of Robust Regression Estimates
update.lmRob Update an lmRob Model Object
weights.lmRob Methods for lmRob Generic Functions
woodmod.dat Modified Wood Data