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gamclass (version 0.56)

Functions and Data for a Course on Modern Regression and Classification

Description

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.

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Version

Install

install.packages('gamclass')

Monthly Downloads

246

Version

0.56

License

GPL (>= 2)

Maintainer

John Maindonald

Last Published

August 20th, 2015

Functions in gamclass (0.56)

RFcluster

Random forests estimate of predictive accuracy for clustered data
FARSmiss

Summary information on records omitted from the FARS dataset
bssBYcut

Between group SS for y, for all possible splits on values of x
addhlines

Add horizontal lines to plot.
eventCounts

Tabulate vector of dates by specified time event
gamRF

Random forest fit to residuals from GAM model
CVcluster

Cross-validation estimate of predictive accuracy for clustered data
plotFars

Extract from FARS data set the ratio of ratios estimate of safety device effectiveness, and return trellis graphics object
simreg

Simulate (repeated) regression calculations
loti

Global temperature anomalies
cvalues

Historical speed of light measurements
matchedPairs

Collect together driver and right seat passenger information, for the specified year
airAccs

Aircraft Crash data
fars2007

US fatal road accident data, 2007 and 2008
compareModels

Compare accuracy of alternative classification methods
FARS

US fatal road accident data for automobiles, 1998 to 2010
tabFarsDead

Extract ratio of ratios estimate of safety device effectiveness, from the Fars dataset.
german

German credit scoring data
modregR-package

Functions and Data for a Course in Modern Regression
CVgam

Cross-validation estimate of accuracy from GAM model fit