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mgcv (version 1.5-1)

GAMs with GCV/AIC/REML smoothness estimation and GAMMs by PQL

Description

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

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Version

Install

install.packages('mgcv')

Monthly Downloads

57,632

Version

1.5-1

License

GPL (>=2)

Maintainer

Simon Wood

Last Published

March 17th, 2009

Functions in mgcv (1.5-1)

influence.gam

Extract the diagonal of the influence/hat matrix for a GAM
fixDependence

Detect linear dependencies of one matrix on another
mgcv-package

GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
step.gam

Alternatives to step.gam
gam

Generalized additive models with integrated smoothness estimation
gam.fit

GAM P-IRLS estimation with GCV/UBRE smoothness estimation
cSplineDes

Evaluate cyclic B spline basis
gam.side

Identifiability side conditions for a GAM
extract.lme.cov

Extract the data covariance matrix from an lme object
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
full.score

GCV/UBRE score for use within nlm
anova.gam

Hypothesis tests related to GAM fits
gamm

Generalized Additive Mixed Models
gam.fit3

P-IRLS GAM estimation with GCV & UBRE/AIC or RE/ML derivative calculation
magic

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

Extract the log likelihood for a fitted GAM
gam.models

Specifying generalized additive models
linear.functional.terms

Linear functionals of a smooth in GAMs
smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs
print.gam

Generalized Additive Model default print statement
smooth.construct.ps.smooth.spec

P-splines in GAMs
Tweedie

GAM Tweedie family
interpret.gam

Interpret a GAM formula
gam.outer

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

Fitted gam object
get.var

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

Prediction from fitted GAM model
gam.selection

Generalized Additive Model Selection
smooth.terms

Smooth terms in GAM
formXtViX

Form component of GAMM covariance matrix
magic.post.proc

Auxilliary information from magic fit
gam.setup

Generalized additive model set up
null.space.dimension

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

Functions for better-than-log positive parameterization
smooth.construct

Constructor functions for smooth terms in a GAM
residuals.gam

Generalized Additive Model residuals
gamm.setup

Generalized additive mixed model set up
ldTweedie

Log Tweedie density evaluation
vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit
place.knots

Automatically place a set of knots evenly through covariate values
vis.gam

Visualization of GAM objects
s

Defining smooths in GAM formulae
model.matrix.gam

Extract model matrix from GAM fit
Predict.matrix

Prediction methods for smooth terms in a GAM
plot.gam

Default GAM plotting
exclude.too.far

Exclude prediction grid points too far from data
gam.check

Some diagnostics for a fitted gam model
uniquecombs

find the unique rows in a matrix
sp.vcov

Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit
negbin

GAM negative binomial family
smooth.construct.cr.smooth.spec

Penalized Cubic regression splines in GAMs
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
summary.gam

Summary for a GAM fit
smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs
formula.gam

GAM formula
mono.con

Monotonicity constraints for a cubic regression spline
mgcv.control

Setting mgcv defaults
notExp2

Alternative to log parameterization for variance components
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
te

Define tensor product smooths in GAM formulae
new.name

Obtain a name for a new variable that is not already in use
choose.k

Basis dimension choice for smooths
fix.family.link

Modify families for use in GAM fitting
pdTens

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

Setting GAM fitting defaults
gam.convergence

GAM convergence and performance issues
initial.sp

Starting values for multiple smoothing parameter estimation
pcls

Penalized Constrained Least Squares Fitting
gam2objective

Objective functions for GAM smoothing parameter estimation
gamSim

Simulate example data for GAMs
mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE
mroot

Smallest square root of matrix