R: Robust Methods for High-Dimensional Data

# Robust Methods for High-Dimensional Data

## Documentation for package ‘robustHD’ version 0.8.4

- DESCRIPTION file
- Package NEWS

## Help Pages

A B C D F G L N 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 --

cellLineInfo | NCI-60 cancer cell panel
coef.grplars | Extract coefficients from a sequence of regression models
coef.perrySeqModel | 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.setupCoefPlot | 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.setupCritPlot | 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.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.setupDiagnosticPlot | 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.perrySeqModel | 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

## -- G --

gene | NCI-60 cancer cell panel
geneInfo | NCI-60 cancer cell panel
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

## -- N --

nci60 | NCI-60 cancer cell panel

## -- P --

partialOrder | Find partial order of smallest or largest values
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
protein | NCI-60 cancer cell panel
proteinInfo | NCI-60 cancer cell panel

## -- R --

residuals.grplars | Extract residuals from a sequence of regression models
residuals.perrySeqModel | 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
rstandard.grplars | Extract standardized residuals from a sequence of regression models
rstandard.perrySeqModel | Extract standardized residuals from a sequence of regression models
rstandard.rlars | Extract standardized residuals from a sequence of regression models
rstandard.seqModel | Extract standardized residuals from a sequence of regression models
rstandard.sparseLTS | Extract standardized residuals from a sequence of regression models
rstandard.tslars | Extract standardized residuals from a sequence of regression models
rstandard.tslarsP | Extract standardized residuals from a sequence of regression models
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 --

setupCoefPlot | Set up a coefficient plot of a sequence of regression models
setupCoefPlot.grplars | Set up a coefficient plot of a sequence of regression models
setupCoefPlot.rlars | Set up a coefficient plot of a sequence of regression models
setupCoefPlot.seqModel | Set up a coefficient plot of a sequence of regression models
setupCoefPlot.sparseLTS | Set up a coefficient plot of a sequence of regression models
setupCoefPlot.tslars | Set up a coefficient plot of a sequence of regression models
setupCoefPlot.tslarsP | Set up a coefficient plot of a sequence of regression models
setupCritPlot | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.grplars | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.perrySeqModel | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.perrySparseLTS | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.rlars | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.seqModel | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.sparseLTS | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.tslars | Set up an optimality criterion plot of a sequence of regression models
setupCritPlot.tslarsP | Set up an optimality criterion plot of a sequence of regression models
setupDiagnosticPlot | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.grplars | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.perrySeqModel | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.perrySparseLTS | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.rlars | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.seqModel | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.sparseLTS | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.tslars | Set up a diagnostic plot for a sequence of regression models
setupDiagnosticPlot.tslarsP | Set up a diagnostic plot for a sequence of regression models
sparseLTS | Sparse least trimmed squares regression
sparseLTS.default | Sparse least trimmed squares regression
sparseLTS.formula | Sparse least trimmed squares regression
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 --

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