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mgcv (version 1.3-8)

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

481,715

Version

1.3-8

License

GPL version 2 or later

Maintainer

Simon Wood

Last Published

April 4th, 2025

Functions in mgcv (1.3-8)

interpret.gam

Interpret a GAM formula
gamm

Generalized Additive Mixed Models
gam2objective

Objective functions for GAM smoothing parameter estimation
gam.method

Setting GAM fitting method
magic

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

Generalized Additive Model default print statement
anova.gam

Hypothesis tests related to GAM fits
fix.family.link

Modify families for use in GAM fitting
pcls

Penalized Constrained Least Squares Fitting
formula.gam

Extract the formula from a gam object
gam.selection

Generalized Additive Model Selection
initial.sp

Starting values for multiple smoothing parameter estimation
plot.gam

Default GAM plotting
gam.control

Setting GAM fitting defaults
gam.check

Some diagnostics for a fitted gam model
notExp

Functions for better-than-log positive parameterization
mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE
exclude.too.far

Exclude prediction grid points too far from data
gam.models

Specifying generalized additive models
gam.side

Identifiability side conditions for a GAM
uniquecombs

find the unique rows in a matrix
gam.fit

GAM P-IRLS estimation with GCV/UBRE smoothness estimation
new.name

Obtain a name for a new variable that is not already in use
Predict.matrix

Prediction methods for smooth terms in a GAM
null.space.dimension

The basis of the space of un-penalized functions for a TPRS
s

Defining smooths in GAM formulae
notExp2

Alternative to log parameterization for variance components
mono.con

Monotonicity constraints for a cubic regression spline
gamm.setup

Generalized additive mixed model set up
gam.fit2

P-IRLS GAM estimation with GCV & UBRE derivative calculation
influence.gam

Extract the diagonal of the influence/hat matrix for a GAM
residuals.gam

Generalized Additive Model residuals
gam.neg.bin

GAMs with the negative binomial distribution
gam.setup

Generalized additive model set up
pdTens

Functions implementing a pdMat class for tensor product smooths
formXtViX

Form component of GAMM covariance matrix
place.knots

Automatically place a set of knots evenly through covariate values
smooth.construct

Constructor functions for smooth terms in a GAM
full.score

GCV/UBRE score for use within nlm
gam

Generalized additive models with integrated smoothness estimation
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
magic.post.proc

Auxilliary information from magic fit
predict.gam

Prediction from fitted GAM model
extract.lme.cov

Extract the data covariance matrix from an lme object
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
te

Define tensor product smooths in GAM formulae
get.var

Get named variable or evaluate expression from list or data.frame
step.gam

Alternatives to step.gam
gamObject

Fitted gam object
mroot

Smallest square root of matrix
pdIdnot

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

Extract the log likelihood for a fitted GAM
gam.convergence

GAM convergence and performance issues
fixDependence

Detect linear dependencies of one matrix on another
mgcv.control

Setting mgcv defaults
vis.gam

Visualization of GAM objects
summary.gam

Summary for a GAM fit
vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit
gam.outer

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