Robust Methods for High-Dimensional Data

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Documentation for package ‘robustHD’ version 0.5.1

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A B C D F G L P R S T W

robustHD-package Robust Methods for High-Dimensional Data

-- A --

AIC.seqModel Information criteria for a sequence of regression models
AIC.sparseLTS Information criteria for a sequence of regression models

-- B --

BIC.seqModel Information criteria for a sequence of regression models
BIC.sparseLTS Information criteria for a sequence of regression models

-- C --

coef.grplars Extract coefficients from a sequence of regression models
coef.rlars Extract coefficients from a sequence of regression models
coef.seqModel Extract coefficients from a sequence of regression models
coef.sparseLTS Extract coefficients from a sequence of regression models
coef.tslars Extract coefficients from a sequence of regression models
coef.tslarsP Extract coefficients from a sequence of regression models
coefPlot Coefficient plot of a sequence of regression models
coefPlot.grplars Coefficient plot of a sequence of regression models
coefPlot.rlars Coefficient plot of a sequence of regression models
coefPlot.seqModel Coefficient plot of a sequence of regression models
coefPlot.sparseLTS Coefficient plot of a sequence of regression models
coefPlot.tslars Coefficient plot of a sequence of regression models
coefPlot.tslarsP Coefficient plot of a sequence of regression models
corHuber Robust correlation based on winsorization.
critPlot Optimality criterion plot of a sequence of regression models
critPlot.grplars Optimality criterion plot of a sequence of regression models
critPlot.perrySeqModel Optimality criterion plot of a sequence of regression models
critPlot.perrySparseLTS Optimality criterion plot of a sequence of regression models
critPlot.rlars Optimality criterion plot of a sequence of regression models
critPlot.seqModel Optimality criterion plot of a sequence of regression models
critPlot.sparseLTS Optimality criterion plot of a sequence of regression models
critPlot.tslars Optimality criterion plot of a sequence of regression models
critPlot.tslarsP Optimality criterion plot of a sequence of regression models

-- D --

diagnosticPlot Diagnostic plots for a sequence of regression models
diagnosticPlot.default Diagnostic plots for a sequence of regression models
diagnosticPlot.grplars Diagnostic plots for a sequence of regression models
diagnosticPlot.perrySeqModel Diagnostic plots for a sequence of regression models
diagnosticPlot.perrySparseLTS Diagnostic plots for a sequence of regression models
diagnosticPlot.rlars Diagnostic plots for a sequence of regression models
diagnosticPlot.seqModel Diagnostic plots for a sequence of regression models
diagnosticPlot.sparseLTS Diagnostic plots for a sequence of regression models
diagnosticPlot.tslars Diagnostic plots for a sequence of regression models
diagnosticPlot.tslarsP Diagnostic plots for a sequence of regression models

-- F --

fitted.grplars Extract fitted values from a sequence of regression models
fitted.rlars Extract fitted values from a sequence of regression models
fitted.seqModel Extract fitted values from a sequence of regression models
fitted.sparseLTS Extract fitted values from a sequence of regression models
fitted.tslars Extract fitted values from a sequence of regression models
fitted.tslarsP Extract fitted values from a sequence of regression models
fortify.rlars Convert a sequence of regression models into a data frame for plotting
fortify.seqModel Convert a sequence of regression models into a data frame for plotting
fortify.sparseLTS Convert a sequence of regression models into a data frame for plotting

-- G --

getScale Extract the residual scale of a robust regression model
getScale.seqModel Extract the residual scale of a robust regression model
getScale.sparseLTS Extract the residual scale of a robust regression model
grplars (Robust) groupwise least angle regression
grplars.data.frame (Robust) groupwise least angle regression
grplars.default (Robust) groupwise least angle regression
grplars.formula (Robust) groupwise least angle regression

-- L --

lambda0 Penalty parameter for sparse LTS regression

-- P --

perry.rlars Resampling-based prediction error for a sequential regression model
perry.seqModel Resampling-based prediction error for a sequential regression model
perry.sparseLTS Resampling-based prediction error for a sequential regression model
plot.grplars Plot a sequence of regression models
plot.perrySeqModel Plot a sequence of regression models
plot.perrySparseLTS Plot a sequence of regression models
plot.rlars Plot a sequence of regression models
plot.seqModel Plot a sequence of regression models
plot.sparseLTS Plot a sequence of regression models
plot.tslars Plot a sequence of regression models
plot.tslarsP Plot a sequence of regression models
predict.grplars Predict from a sequence of regression models
predict.rlars Predict from a sequence of regression models
predict.seqModel Predict from a sequence of regression models
predict.sparseLTS Predict from a sequence of regression models
predict.tslars Predict from a sequence of regression models
predict.tslarsP Predict from a sequence of regression models
print.grplars (Robust) groupwise least angle regression
print.rlars Robust least angle regression
print.sparseLTS Sparse least trimmed squares regression
print.tslars (Robust) least angle regression for time series data
print.tslarsP (Robust) least angle regression for time series data with fixed lag length

-- R --

residuals.grplars Extract residuals from a sequence of regression models
residuals.rlars Extract residuals from a sequence of regression models
residuals.seqModel Extract residuals from a sequence of regression models
residuals.sparseLTS Extract residuals from a sequence of regression models
residuals.tslars Extract residuals from a sequence of regression models
residuals.tslarsP Extract residuals from a sequence of regression models
rgrplars (Robust) groupwise least angle regression
rgrplars.data.frame (Robust) groupwise least angle regression
rgrplars.default (Robust) groupwise least angle regression
rgrplars.formula (Robust) groupwise least angle regression
rlars Robust least angle regression
rlars.default Robust least angle regression
rlars.formula Robust least angle regression
robStandardize Data standardization
robustHD Robust Methods for High-Dimensional Data
robustHD-deprecated Deprecated functions in package 'robustHD'
rtslars (Robust) least angle regression for time series data
rtslars.default (Robust) least angle regression for time series data
rtslars.formula (Robust) least angle regression for time series data
rtslarsP (Robust) least angle regression for time series data with fixed lag length
rtslarsP.default (Robust) least angle regression for time series data with fixed lag length
rtslarsP.formula (Robust) least angle regression for time series data with fixed lag length

-- S --

sparseLTS Sparse least trimmed squares regression
sparseLTS.default Sparse least trimmed squares regression
sparseLTS.formula Sparse least trimmed squares regression
sparseLTSGrid Deprecated functions in package 'robustHD'
sparseLTSGrid.default Deprecated functions in package 'robustHD'
sparseLTSGrid.formula Deprecated functions in package 'robustHD'
standardize Data standardization

-- T --

TopGear Top Gear car data
tsBlocks Construct predictor blocks for time series models
tslars (Robust) least angle regression for time series data
tslars.default (Robust) least angle regression for time series data
tslars.formula (Robust) least angle regression for time series data
tslarsP (Robust) least angle regression for time series data with fixed lag length
tslarsP.default (Robust) least angle regression for time series data with fixed lag length
tslarsP.formula (Robust) least angle regression for time series data with fixed lag length

-- W --

winsorize Data cleaning by winsorization
winsorize.data.frame Data cleaning by winsorization
winsorize.default Data cleaning by winsorization
winsorize.matrix Data cleaning by winsorization
wt Extract outlier weights from sparse LTS regression models
wt.sparseLTS Extract outlier weights from sparse LTS regression models