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

Modern regression extends to include classification and multivariate exploration

Version: 0.52
Depends: R (≥ 3.0.0)
Imports: car, mgcv, DAAG, MASS, rpart, randomForest, lattice, latticeExtra, ape, KernSmooth
Suggests: leaps, quantreg, sp, diagram, oz, forecast, SMIR, kernlab, Ecdat, mlbench, DAAGbio, knitr
Published: 2013-12-05
Author: John Maindonald
Maintainer: John Maindonald <john.maindonald at anu.edu.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: gamclass results

Downloads:

Reference manual: gamclass.pdf
Vignettes: Key Ideas and Issues (Set 1 Figures)
Limits of Statistical Learning (Set 2)
Data-Based Generalization (Set 3)
Linear Models (Set 4)
Generalized Linear Models (Set 5)
Generalized Additive Models (Set 6)
Discrimination and Classification (Set 7)
Model Output Can Deceive! (Set 8)
Ordination (Set 9)
Package source: gamclass_0.52.tar.gz
OS X binary: gamclass_0.52.tgz
Windows binary: gamclass_0.52.zip
Old sources: gamclass archive