Functions and Data for a Course on Modern Regression and Classification

Functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. Attention is restricted to a relatively small number of methods, often (misleadingly, in my view) referred to as algorithms.


News

              Changes in gamclass version 0.57

Changes in vignettes
o Argument reg.line=NA, in calls to the car functions sp() and spm() has been changed to regLine=TRUE, as required in car versions >=3.0.0 . o An argument diag="boxplot", in figs5.Rnw in a call to car::spm(), becomes diagonal=list(method="boxplot"), as required in car versions >=3.0.0 .

              Changes in gamclass version 0.53

NEW FEATURES o Functions plotFars() an tabFarsDead() do not now have an argument 'data'. Instead, to deal with a "No visible binding" message, data('FARS', package='gamclass', envir=environment()) is used to place the dataset 'FARS' in the function environment, with FARS <- get("FARS", envir=environment()) used to appease the CRAN check. o The functions eventCounts() (counts of events by specified intervals), gamRF() (use repeated sampling to compare interpolation accuracy of GAM model + randomForests fit to residual), addhlines() (plot horizontal lines to show rpart fitted values) and bssBYcut() (between group SS for y, for all possible splits on a value of x) o Vignettes figs7 and figs8 are new. The former vignettes figs7:figs9 have become figs9:figs11 o The dataset airAccs has been added.

Reference manual

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install.packages("gamclass")

0.58 by John Maindonald, a year ago


Browse source code at https://github.com/cran/gamclass


Authors: John Maindonald


Documentation:   PDF Manual  


GPL (>= 2) license


Imports car, mgcv, DAAG, MASS, rpart, randomForest, lattice, latticeExtra, ape, KernSmooth, methods

Suggests leaps, quantreg, sp, diagram, oz, forecast, kernlab, Ecdat, mlbench, DAAGbio, knitr


See at CRAN