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mgcv (version 1.7-9)

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

134,785

Version

1.7-9

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

October 20th, 2011

Functions in mgcv (1.7-9)

gam.fit

GAM P-IRLS estimation with GCV/UBRE smoothness estimation
t2

Define alternative tensor product smooths in GAM formulae
gam.models

Specifying generalized additive models
random.effects

Random effects in GAMs
smooth.construct.mrf.smooth.spec

Markov Random Field Smooths
ls.size

Size of list elements
gam

Generalized additive models with integrated smoothness estimation
model.matrix.gam

Extract model matrix from GAM fit
pdIdnot

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

Extract the log likelihood for a fitted GAM
interpret.gam

Interpret a GAM formula
smooth.construct.re.smooth.spec

Simple random effects in GAMs
Tweedie

GAM Tweedie family
mgcv-package

GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
smooth.construct.sos.smooth.spec

Splines on the sphere
sp.vcov

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

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

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

Log Tweedie density evaluation
gamSim

Simulate example data for GAMs
smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
vis.gam

Visualization of GAM objects
spasm.construct

Experimental sparse smoothers
s

Defining smooths in GAM formulae
smooth.construct

Constructor functions for smooth terms in a GAM
smooth.terms

Smooth terms in GAM
residuals.gam

Generalized Additive Model residuals
gam.side

Identifiability side conditions for a GAM
anova.gam

Approximate hypothesis tests related to GAM fits
fixDependence

Detect linear dependencies of one matrix on another
smooth.construct.fs.smooth.spec

Factor smooth interactions in GAMs
vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit
smooth.construct.ds.smooth.spec

Low rank Duchon 1977 splines
pdTens

Functions implementing a pdMat class for tensor product smooths
rTweedie

Generate Tweedie random deviates
bam

Generalized additive models for very large datasets
cSplineDes

Evaluate cyclic B spline basis
mgcv.control

Setting mgcv defaults
rig

Generate inverse Gaussian random deviates
concurvity

GAM concurvity measures
gamObject

Fitted gam object
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
magic.post.proc

Auxilliary information from magic fit
formXtViX

Form component of GAMM covariance matrix
plot.gam

Default GAM plotting
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
smooth.construct.ps.smooth.spec

P-splines in GAMs
summary.gam

Summary for a GAM fit
exclude.too.far

Exclude prediction grid points too far from data
in.out

Which of a set of points lie within a polygon defined region
step.gam

Alternatives to step.gam
gam.vcomp

Report gam smoothness estimates as variance components
influence.gam

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

Generalized Additive Mixed Models
slanczos

Compute truncated eigen decomposition of a symmetric matrix
uniquecombs

find the unique rows in a matrix
linear.functional.terms

Linear functionals of a smooth in GAMs
Predict.matrix.cr.smooth

Predict matrix method functions
null.space.dimension

The basis of the space of un-penalized functions for a TPRS
qq.gam

QQ plots for gam model residuals
smooth.construct.cr.smooth.spec

Penalized Cubic regression splines in GAMs
smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs
gam.control

Setting GAM fitting defaults
initial.sp

Starting values for multiple smoothing parameter estimation
gam.check

Some diagnostics for a fitted gam model
formula.gam

GAM formula
extract.lme.cov

Extract the data covariance matrix from an lme object
gam2objective

Objective functions for GAM smoothing parameter estimation
mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE
smooth.construct.tensor.smooth.spec

Tensor product smoothing constructor
gam.fit3

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

Define tensor product smooths in GAM formulae
gam.selection

Generalized Additive Model Selection
notExp2

Alternative to log parameterization for variance components
mroot

Smallest square root of matrix
pen.edf

Extract the effective degrees of freedom associated with each penalty in a gam fit
Predict.matrix

Prediction methods for smooth terms in a GAM
bam.update

Update a strictly additive bam model for new data.
fix.family.link

Modify families for use in GAM fitting and checking
gam.convergence

GAM convergence and performance issues
predict.gam

Prediction from fitted GAM model
mono.con

Monotonicity constraints for a cubic regression spline
place.knots

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

Print a Generalized Additive Model object.
polys.plot

Plot geographic regions defined as polygons
notExp

Functions for better-than-log positive parameterization
choose.k

Basis dimension choice for smooths
negbin

GAM negative binomial family
full.score

GCV/UBRE score for use within nlm
columb

Reduced version of Columbus OH crime data
get.var

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

Penalized Constrained Least Squares Fitting
mgcv-FAQ

Frequently Asked Questions for package mgcv