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mgcv (version 1.1-5)

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

154,135

Version

1.1-5

License

GPL version 2 or later

Maintainer

Simon Wood

Last Published

April 4th, 2025

Functions in mgcv (1.1-5)

gam.models

Specifying generalized Additive Models.
mgcv

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

Exclude prediction grid points too far from data
formXtViX

Form component of GAMM covariance matrix
gam.neg.bin

GAMs with the negative binomial distribution
magic.post.proc

Auxilliary information from magic fit
gamObject

Fitted gam object
full.score

GCV/UBRE score for use within nlm
influence.gam

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

Generalized Additive Model set up.
gam.fit

Generalized Additive Models fitting using penalized regression splines and GCV
extract.lme.cov

Extract the data covariance matrix from an lme object
smooth.construct

Constructor functions for smooth terms in a GAM
gam

Generalized Additive Models using penalized regression splines and GCV
new.name

Obtain a name for a new variable that is not already in use
predict.gam

Prediction from fitted GAM model
gam.side.conditions

Identifiability side conditions for a GAM.
notExp

Functions for better-than-log positive parameterization
gamm

Generalized Additive Mixed Models
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
summary.gam

Summary for a GAM fit
logLik.gam

Extract the log likelihood for a fitted GAM
plot.gam

Default GAM plotting
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
null.space.dimension

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

Prediction methods for smooth terms in a GAM
gam.convergence

GAM convergence issues.
uniquecombs

find the unique rows in a matrix
get.var

Get named variable or evaluate expression from list or data.frame
gamm.setup

Generalized Additive Mixed Model set up.
gam.control

Setting GAM fitting defaults
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE, with optional fixed penalty
pdTens

Functions implementing a pdMat class for tensor product smooths
print.gam

Generalized Additive Model default print statement
anova.gam

Hypothesis tests related to GAM fits
mono.con

Monotonicity constraints for a cubic regression spline.
interpret.gam

Interpret a GAM formula
mgcv.control

Setting mgcv defaults
place.knots

Automatically place a set of knots evenly through covariate values
s

Defining smooths in GAM formulae
vis.gam

Visualization of GAM objects
residuals.gam

Generalized Additive Model residuals
step.gam

Alternatives to step.gam
formula.gam

Extract the formula from a gam object.
pcls

Penalized Constrained Least Squares Fitting
te

Define tensor product smooths in GAM formulae
gam.check

Some diagnostics for a fitted gam model.
gam.selection

Generalized Additive Model Selection
mroot

Smallest square root of matrix