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mgcv (version 1.6-0)

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

481,715

Version

1.6-0

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

November 18th, 2009

Functions in mgcv (1.6-0)

initial.sp

Starting values for multiple smoothing parameter estimation
formXtViX

Form component of GAMM covariance matrix
pdTens

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

GAM convergence and performance issues
null.space.dimension

The basis of the space of un-penalized functions for a TPRS
choose.k

Basis dimension choice for smooths
smooth.construct

Constructor functions for smooth terms in a GAM
te

Define tensor product smooths in GAM formulae
formula.gam

GAM formula
get.var

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

Generalized Additive Model residuals
gam.side

Identifiability side conditions for a GAM
mgcv-package

GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
exclude.too.far

Exclude prediction grid points too far from data
linear.functional.terms

Linear functionals of a smooth in GAMs
Predict.matrix

Prediction methods for smooth terms in a GAM
fixDependence

Detect linear dependencies of one matrix on another
Predict.matrix.cr.smooth

Predict matrix method functions
new.name

Obtain a name for a new variable that is not already in use
smooth.construct.tensor.smooth.spec

Tensor product smoothing constructor
print.gam

Print a Generalized Additive Model object.
predict.gam

Prediction from fitted GAM model
summary.gam

Summary for a GAM fit
gam.selection

Generalized Additive Model Selection
mono.con

Monotonicity constraints for a cubic regression spline
gam.check

Some diagnostics for a fitted gam model
Tweedie

GAM Tweedie family
cSplineDes

Evaluate cyclic B spline basis
mroot

Smallest square root of matrix
gam.models

Specifying generalized additive models
bam

Generalized additive models for very large datasets
full.score

GCV/UBRE score for use within nlm
gam2objective

Objective functions for GAM smoothing parameter estimation
gamObject

Fitted gam object
ldTweedie

Log Tweedie density evaluation
gam.fit3

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

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

Generalized additive models with integrated smoothness estimation
gamSim

Simulate example data for GAMs
magic.post.proc

Auxilliary information from magic fit
smooth.terms

Smooth terms in GAM
ls.size

Size of list elements
smooth.construct.ps.smooth.spec

P-splines in GAMs
plot.gam

Default GAM plotting
gam.outer

Minimize GCV or UBRE score of a GAM using `outer' iteration
fix.family.link

Modify families for use in GAM fitting
negbin

GAM negative binomial family
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs
uniquecombs

find the unique rows in a matrix
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
vcov.gam

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

Hypothesis tests related to GAM fits
interpret.gam

Interpret a GAM formula
extract.lme.cov

Extract the data covariance matrix from an lme object
mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE
vis.gam

Visualization of GAM objects
model.matrix.gam

Extract model matrix from GAM fit
rig

Generate inverse Gaussian random deviates
step.gam

Alternatives to step.gam
influence.gam

Extract the diagonal of the influence/hat matrix for a GAM
mgcv.control

Setting mgcv defaults
notExp

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

Penalized Cubic regression splines in GAMs
logLik.gam

Extract the log likelihood for a fitted GAM
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE, with optional fixed penalty
notExp2

Alternative to log parameterization for variance components
smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs
gamm

Generalized Additive Mixed Models
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
place.knots

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

Setting GAM fitting defaults
pcls

Penalized Constrained Least Squares Fitting
s

Defining smooths in GAM formulae
sp.vcov

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