robustHD-package | Robust methods for high-dimensional data |
AIC.seqModel | Information criteria for a sequence of regression models |
AIC.sparseLTS | Information criteria for a sequence of regression models |
BIC.seqModel | Information criteria for a sequence of regression models |
BIC.sparseLTS | Information criteria for 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 |
coefPlot | 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 |
corHuber | Robust correlation based on winsorization. |
critPlot | 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 |
diagnosticPlot | Diagnostic plots for a sequence of regression models |
diagnosticPlot.default | 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 |
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 |
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 |
getScale | Extract the residual scale of a robust regression model |
getScale.sparseLTS | Extract the residual scale of a robust regression model |
lambda0 | Penalty parameter for sparse LTS regression |
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.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 |
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 |
print.rlars | Robust least angle regression |
print.sparseLTS | Sparse least trimmed squares regression |
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 |
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' |
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 |
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 |