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mgcv (version 1.2-4)

GAMs with GCV smoothness estimation and GAMMs by REML/PQL

Description

Routines for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV or UBRE. Also GAMMs by REML or PQL. Includes a gam() function.

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Version

Install

install.packages('mgcv')

Monthly Downloads

106,646

Version

1.2-4

License

GPL version 2 or later

Maintainer

Simon Wood

Last Published

November 7th, 2025

Functions in mgcv (1.2-4)

gam.neg.bin

GAMs with the negative binomial distribution
gam.fit

GAM P-IRLS estimation with GCV/UBRE smoothness estimation.
formXtViX

Form component of GAMM covariance matrix
formula.gam

Extract the formula from a gam object.
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
interpret.gam

Interpret a GAM formula
gam.convergence

GAM convergence and performance issues.
gam

Generalized additive models with integrated smoothness estimation
exclude.too.far

Exclude prediction grid points too far from data
notExp

Functions for better-than-log positive parameterization
gam.models

Specifying Generalized Additive Models.
plot.gam

Default GAM plotting
te

Define tensor product smooths in GAM formulae
gam.side

Identifiability side conditions for a GAM.
gam.method

Setting GAM fitting method
predict.gam

Prediction from fitted GAM model
gam.setup

Generalized Additive Model set up.
gamObject

Fitted gam object
gam.fit2

P-IRLS GAM estimation with GCV & UBRE derivative calculation
mgcv.control

Setting mgcv defaults
gam.outer

Minimize GCV or UBRE score of a GAM using `outer' iteration
pdTens

Functions implementing a pdMat class for tensor product smooths
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
residuals.gam

Generalized Additive Model residuals
Predict.matrix

Prediction methods for smooth terms in a GAM
mono.con

Monotonicity constraints for a cubic regression spline.
mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE
gam.control

Setting GAM fitting defaults
full.score

GCV/UBRE score for use within nlm
summary.gam

Summary for a GAM fit
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE, with optional fixed penalty
influence.gam

Extract the diagonal of the Influence/Hat matrix for a GAM.
print.gam

Generalized Additive Model default print statement
gam.check

Some diagnostics for a fitted gam model.
uniquecombs

find the unique rows in a matrix
magic.post.proc

Auxilliary information from magic fit
logLik.gam

Extract the log likelihood for a fitted GAM
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
new.name

Obtain a name for a new variable that is not already in use
fix.family.link

Modify families for use in GAM fitting
initial.sp

Starting values for multiple smoothing parameter estimation.
s

Defining smooths in GAM formulae
gamm

Generalized Additive Mixed Models
gam2objective

Objective functions for GAM smoothing parameter estimation.
vis.gam

Visualization of GAM objects
anova.gam

Hypothesis tests related to GAM fits
extract.lme.cov

Extract the data covariance matrix from an lme object
null.space.dimension

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

Smallest square root of matrix
pcls

Penalized Constrained Least Squares Fitting
place.knots

Automatically place a set of knots evenly through covariate values
gamm.setup

Generalized Additive Mixed Model set up.
fixDependence

Detect linear dependencies of one matrix on another
gam.selection

Generalized Additive Model Selection
step.gam

Alternatives to step.gam
get.var

Get named variable or evaluate expression from list or data.frame
smooth.construct

Constructor functions for smooth terms in a GAM