Robust Methods for High-Dimensional Data
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Documentation for package ‘robustHD’ version 0.8.1
Help Pages
| 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 |