Man pages for enetLTS
Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression
| coef.enetLTS | coefficients from the 'enetLTS' object |
| cv.enetLTS | Cross-validation for the 'enetLTS' object |
| enetLTS-package | Robust and Sparse Methods for High Dimensional Linear and... |
| fitted.enetLTS | the fitted values from the '"enetLTS"' object. |
| lambda00 | Upper limit of the penalty parameter for 'family="binomial"' |
| nonzeroCoef.enetLTS | nonzero coefficients indices from the '"enetLTS"' object |
| plotCoef.enetLTS | coefficients plots from the '"enetLTS"' object |
| plotDiagnostic.enetLTS | diagnostics plots from the '"enetLTS"' object |
| plot.enetLTS | plots from the '"enetLTS"' object |
| plotResid.enetLTS | residuals plots from the '"enetLTS"' object |
| predict.enetLTS | make predictions from the '"enetLTS"' object. |
| print.enetLTS | print from the '"enetLTS"' object |
| residuals.enetLTS | the residuals from the '"enetLTS"' object |
| weights.enetLTS | binary weights from the '"enetLTS"' object |
