AIC.seqModel | Information criteria for a sequence of regression models |
coefPlot | Coefficient plot of a sequence of regression models |
coef.seqModel | Extract coefficients from a sequence of regression models |
corHuber | Robust correlation based on winsorization |
critPlot | Optimality criterion plot of a sequence of regression models |
diagnosticPlot | Diagnostic plots for a sequence of regression models |
fitted.seqModel | Extract fitted values from a sequence of regression models |
getScale | Extract the residual scale of a robust regression model |
grplars | (Robust) groupwise least angle regression |
lambda0 | Penalty parameter for sparse LTS regression |
nci60 | NCI-60 cancer cell panel |
partialOrder | Find partial order of smallest or largest values |
perry.seqModel | Resampling-based prediction error for a sequential regression... |
plot.seqModel | Plot a sequence of regression models |
predict.seqModel | Predict from a sequence of regression models |
residuals.seqModel | Extract residuals from a sequence of regression models |
rlars | Robust least angle regression |
robustHD-package | Robust Methods for High-Dimensional Data |
rstandard.seqModel | Extract standardized residuals from a sequence of regression... |
setupCoefPlot | Set up a coefficient plot of a sequence of regression models |
setupCritPlot | Set up an optimality criterion plot of a sequence of... |
setupDiagnosticPlot | Set up a diagnostic plot for a sequence of regression models |
sparseLTS | Sparse least trimmed squares regression |
standardize | Data standardization |
TopGear | Top Gear car data |
tsBlocks | Construct 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... |
weights.sparseLTS | Extract outlier weights from sparse LTS regression models |
winsorize | Data cleaning by winsorization |
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