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mgcv (version 0.8-2)

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 (not a clone) of gam().

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Version

Install

install.packages('mgcv')

Monthly Downloads

57,632

Version

0.8-2

License

GPL version 2 or later

Maintainer

Simon Wood

Last Published

April 4th, 2025

Functions in mgcv (0.8-2)

null.space.dimension

The basis of the space of un-penalized functions for a t.p.r.s.

Monotonicity constraints for a cubic regression spline.

Family function for Negative Binomial GAMs

Defining smooths in GAM formulae

Generalized Additive Models using Negative Binomial errors with unknown theta

find the unique rows in a matrix

Summary for a GAM fit

Generalized Additive Model fitting using penalized regression splines and GCV

Prediction from fitted GAM model

Perspective Plot of GAM objects

Multiple Smoothing Parameter Estimation by GCV or UBRE

Generalized Additive Model set up.

Identifies families

Estimate theta of the Negative Binomial by Maximum Likelihood

Default GAM plotting

Set up GAM using penalized regression splines

Setting Generalized Additive Models fitting defaults

gam.side.conditions

Identifiability side conditions for a GAM.

Generalized Additive Models using penalized regression splines and GCV

Some diagnostics for a fitted gam model.

Penalized Constrained Least Squares Fitting

Generalized Additive Model Selection

Generalized Additive Models fitting using penalized regression splines and GCV

QT factorisation of a matrix

Specifying generalized Additive Models.

Generalized Additive Model default print statement

Generalized Additive Model residuals