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mgcv (version 0.5-0)

Multiple smoothing parameter estimation and GAMs by GCV

Description

Routines for GAMs and other generalized ridge regression problems with multiple smoothing parameter selection by GCV or UBRE. Includes an implementation of gam().

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Version

Install

install.packages('mgcv')

Monthly Downloads

106,646

Version

0.5-0

License

GPL version 2 or later

Maintainer

Simon Wood

Last Published

November 7th, 2025

Functions in mgcv (0.5-0)

GAMsetup

Set up GAM using penalized cubic regression splines

SANtest

Example of simple additive GAM using penalized regression splines.

gam.setup

Generalized Additive Model set up.

QT factorisation of a matrix

predict.gam

Prediction from fitted GAM model

mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE

gam.parser

Generalized Additive Models fitting using penalized regression splines and GCV

gam

Generalized Additive Models using penalized regression splines and GCV

gam.control

Setting Generalized Additive Models fitting defaults

plot.gam

Default GAM plotting

print.gam

Generalized Additive Model default print statement

gam.fit

Generalized Additive Models fitting using penalized regression splines and GCV