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mgcv (version 1.5-6)

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

121,780

Version

1.5-6

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

September 12th, 2009

Functions in mgcv (1.5-6)

gam.fit

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

Extract the log likelihood for a fitted GAM
anova.gam

Hypothesis tests related to GAM fits
mgcv.control

Setting mgcv defaults
influence.gam

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

Prediction methods for smooth terms in a GAM
fixDependence

Detect linear dependencies of one matrix on another
gamm

Generalized Additive Mixed Models
gamObject

Fitted gam object
gamSim

Simulate example data for GAMs
gam.control

Setting GAM fitting defaults
gam.convergence

GAM convergence and performance issues
Tweedie

GAM Tweedie family
s

Defining smooths in GAM formulae
choose.k

Basis dimension choice for smooths
notExp2

Alternative to log parameterization for variance components
negbin

GAM negative binomial family
mroot

Smallest square root of matrix
smooth.construct

Constructor functions for smooth terms in a GAM
print.gam

Print a Generalized Additive Model object.
magic.post.proc

Auxilliary information from magic fit
initial.sp

Starting values for multiple smoothing parameter estimation
place.knots

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

Tensor product smoothing constructor
gam2objective

Objective functions for GAM smoothing parameter estimation
smooth.construct.ps.smooth.spec

P-splines in GAMs
ldTweedie

Log Tweedie density evaluation
null.space.dimension

The basis of the space of un-penalized functions for a TPRS
smooth.construct.cr.smooth.spec

Penalized Cubic regression splines in GAMs
uniquecombs

find the unique rows in a matrix
residuals.gam

Generalized Additive Model residuals
te

Define tensor product smooths in GAM formulae
sp.vcov

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

Smooth terms in GAM
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
extract.lme.cov

Extract the data covariance matrix from an lme object
full.score

GCV/UBRE score for use within nlm
gam.selection

Generalized Additive Model Selection
mono.con

Monotonicity constraints for a cubic regression spline
pcls

Penalized Constrained Least Squares Fitting
notExp

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

Default GAM plotting
gam.models

Specifying generalized additive models
vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit
Predict.matrix.cr.smooth

Predict matrix method functions
linear.functional.terms

Linear functionals of a smooth in GAMs
formXtViX

Form component of GAMM covariance matrix
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
gam

Generalized additive models with integrated smoothness estimation
gam.side

Identifiability side conditions for a GAM
gam.outer

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

Get named variable or evaluate expression from list or data.frame
mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE
new.name

Obtain a name for a new variable that is not already in use
cSplineDes

Evaluate cyclic B spline basis
gam.check

Some diagnostics for a fitted gam model
gam.fit3

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

Interpret a GAM formula
magic

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

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

Summary for a GAM fit
formula.gam

GAM formula
smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs
model.matrix.gam

Extract model matrix from GAM fit
step.gam

Alternatives to step.gam
exclude.too.far

Exclude prediction grid points too far from data
predict.gam

Prediction from fitted GAM model
smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs
fix.family.link

Modify families for use in GAM fitting
mgcv-package

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

Visualization of GAM objects
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths