gamclass: Functions and data for a course on modern regression and classification

Modern regression extends to include classification and multivariate exploration

Version: 0.51
Depends: R (≥ 2.10.0), mgcv, DAAG, MASS, randomForest, lattice, latticeExtra, Ecdat, mlbench, rpart, KernSmooth
Imports: car
Suggests: leaps, quantreg, sp, diagram, ape, oz, forecast, DAAGbio, SMIR, kernlab
Published: 2012-10-31
Author: John Maindonald
Maintainer: John Maindonald <john.maindonald at anu.edu.au>
License: GPL (≥ 2)
NeedsCompilation: no
CRAN checks: gamclass results

Downloads:

Package source: gamclass_0.51.tar.gz
MacOS X binary: gamclass_0.51.tgz
Windows binary: gamclass_0.51.zip
Reference manual: gamclass.pdf
Vignettes: Overview – Chapter 1 Figures
Limits of Statistical Learning – Chapter 2 Figures
Data-Based Generalization – Chapter 3 Functions
Linear Models – Chapter 4 Figures
Generalized Linear Models – Chapter 5 Figures
Generalized Additive Models – Chapter 6 Functions
Discrimination and Classification – Chapter 7 Functions
Regression Modeling Further Notes – Chapter 8 Figure
Ordination – Chapter 9 Functions