Man pages for l2boost
Exploring Friedman's Boosting Algorithm for Regularized Linear Regression
| coef.l2boost | Extract model coefficients from an l2boost model object at... |
| cv.l2boost | K-fold cross-validation using 'l2boost'. |
| diabetes | Blood and other measurements in diabetics [Hastie and Efron... |
| elasticNetSim | A blocked correlated data simulation. |
| error.bars | nice standard errors for plots |
| fitted.l2boost | Extract the fitted model estimates along the solution path... |
| l2boost | Generic gradient descent boosting method for linear... |
| l2boost-package | Efficient implementation of Friedman's boosting algorithm for... |
| mvnorm.l2boost | multivariate normal data simulations. |
| plot.l2boost | Plotting for 'l2boost' objects. |
| plot.lines | plots.lines is used by 'plot.l2boost' to the path lines (each... |
| predict.l2boost | predict method for l2boost models. |
| print.l2boost | print method for 'l2boost' and 'cv.l2boost' objects. |
| print.summary.l2boost | Unimplemented generic function These are placeholders right... |
| residuals.l2boost | Model residuals for the training set of an l2boost model... |
| summary.l2boost | Unimplemented generic function These are placeholders right... |
| VAR | This is a hidden function of the l2boost package. VAR is a... |
