S-PLUS functions for "The Elements of Statistical Learning"
Bootstrap and cross-validation .
Flexible and mixture
discriminant analysis .
Also includes MARS and BRUTO
(adaptive
additive modelling)
Lasso (Tibshirani).
Lasso2 (Turlach).
LARS
(Efron, Hastie, Johnstone, Tibshirani).
Efficient version of lasso
(entire lasso sequence at cost of single least squares fit). This work
postdates the book.
MART (gradient boosting).
Modern applied statistics
with S-PLUS (Venables and Ripley) .
Contains many functions for data mining including neural networks,
k-nearest neighbors and learning vector quantitation
PRIM.
Principal curves.
Last modified: Wed Mar 27 12:07:29 PST 2002