l2boost - Friedman's boosting algorithm for regularized linear regression

Documentation for package ‘l2boost’ version 1.0

l2boost-package	Efficient implementation of Friedman's boosting algorithm for linear regression using an l2-loss function and coordinate direction (design matrix columns) basis functions.
coef.l2boost	Extract model coefficients from an l2boost model object at any point along the solution path indexed by step m.
cv.l2boost	K-fold cross-validation using 'l2boost'.
diabetes	Blood and other measurements in diabetics [Hastie and Efron (2012)]
elasticNetSim	A blocked correlated data simulation.
fitted.l2boost	Extract the fitted model estimates along the solution path for an l2boost model.
l2boost	Generic gradient descent boosting method for linear regression.
l2boost.default	Generic gradient descent boosting method for linear regression.
l2boost.formula	Generic gradient descent boosting method for linear regression.
mvnorm.l2boost	multivariate normal data simulations.
plot.l2boost	Plotting for 'l2boost' objects.
predict.l2boost	predict method for l2boost models.
print.l2boost	print method for 'l2boost' and 'cv.l2boost' objects.
residuals.l2boost	Model residuals for the training set of an l2boost model object