Man pages for robustHD
Robust Methods for High-Dimensional Data

AIC.seqModelInformation criteria for a sequence of regression models
coefPlotCoefficient plot of a sequence of regression models
coef.seqModelExtract coefficients from a sequence of regression models
corHuberRobust correlation based on winsorization.
critPlotOptimality criterion plot of a sequence of regression models
diagnosticPlotDiagnostic plots for a sequence of regression models
fitted.seqModelExtract fitted values from a sequence of regression models
fortify.seqModelConvert a sequence of regression models into a data frame for...
getScaleExtract the residual scale of a robust regression model
grplars(Robust) groupwise least angle regression
lambda0Penalty parameter for sparse LTS regression
perry.seqModelResampling-based prediction error for a sequential regression...
plot.seqModelPlot a sequence of regression models
predict.seqModelPredict from a sequence of regression models
residuals.seqModelExtract residuals from a sequence of regression models
rlarsRobust least angle regression
robustHD-deprecatedDeprecated functions in package 'robustHD'
robustHD-packageRobust Methods for High-Dimensional Data
sparseLTSSparse least trimmed squares regression
standardizeData standardization
TopGearTop Gear car data
tsBlocksConstruct predictor blocks for time series models
tslars(Robust) least angle regression for time series data
tslarsP(Robust) least angle regression for time series data with...
winsorizeData cleaning by winsorization
wtExtract outlier weights from sparse LTS regression models
robustHD documentation built on May 29, 2017, 8:14 p.m.