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mgcv (version 1.7-12)

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

106,646

Version

1.7-12

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

December 12th, 2011

Functions in mgcv (1.7-12)

gamObject

Fitted gam object
step.gam

Alternatives to step.gam
smooth.construct

Constructor functions for smooth terms in a GAM
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
vis.gam

Visualization of GAM objects
columb

Reduced version of Columbus OH crime data
fix.family.link

Modify families for use in GAM fitting and checking
smooth.construct.re.smooth.spec

Simple random effects in GAMs
mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE
gam

Generalized additive models with integrated smoothness estimation
s

Defining smooths in GAM formulae
smooth.construct.mrf.smooth.spec

Markov Random Field Smooths
gam.models

Specifying generalized additive models
formula.gam

GAM formula
smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs
interpret.gam

Interpret a GAM formula
null.space.dimension

The basis of the space of un-penalized functions for a TPRS
mgcv.control

Setting mgcv defaults
gam.selection

Generalized Additive Model Selection
Predict.matrix

Prediction methods for smooth terms in a GAM
bam

Generalized additive models for very large datasets
Predict.matrix.cr.smooth

Predict matrix method functions
concurvity

GAM concurvity measures
sp.vcov

Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit
notExp2

Alternative to log parameterization for variance components
magic.post.proc

Auxilliary information from magic fit
notExp

Functions for better-than-log positive parameterization
mgcv-package

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

Print a Generalized Additive Model object.
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
smooth.terms

Smooth terms in GAM
gam.outer

Minimize GCV or UBRE score of a GAM using `outer' iteration
initial.sp

Starting values for multiple smoothing parameter estimation
exclude.too.far

Exclude prediction grid points too far from data
anova.gam

Approximate hypothesis tests related to GAM fits
smooth.construct.ds.smooth.spec

Low rank Duchon 1977 splines
mroot

Smallest square root of matrix
mgcv-FAQ

Frequently Asked Questions for package mgcv
negbin

GAM negative binomial family
slanczos

Compute truncated eigen decomposition of a symmetric matrix
place.knots

Automatically place a set of knots evenly through covariate values
cSplineDes

Evaluate cyclic B spline basis
plot.gam

Default GAM plotting
ldTweedie

Log Tweedie density evaluation
te

Define tensor product smooths in GAM formulae
uniquecombs

find the unique rows in a matrix
smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs
influence.gam

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

Generate inverse Gaussian random deviates
smooth.construct.ps.smooth.spec

P-splines in GAMs
pen.edf

Extract the effective degrees of freedom associated with each penalty in a gam fit
pdTens

Functions implementing a pdMat class for tensor product smooths
random.effects

Random effects in GAMs
gam.convergence

GAM convergence and performance issues
smooth.construct.tensor.smooth.spec

Tensor product smoothing constructor
residuals.gam

Generalized Additive Model residuals
pcls

Penalized Constrained Least Squares Fitting
vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit
choose.k

Basis dimension choice for smooths
polys.plot

Plot geographic regions defined as polygons
mono.con

Monotonicity constraints for a cubic regression spline
gam.fit

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

Report gam smoothness estimates as variance components
bam.update

Update a strictly additive bam model for new data.
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
in.out

Which of a set of points lie within a polygon defined region
smooth.construct.fs.smooth.spec

Factor smooth interactions in GAMs
predict.gam

Prediction from fitted GAM model
extract.lme.cov

Extract the data covariance matrix from an lme object
gamm

Generalized Additive Mixed Models
gam.fit3

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

Extract model matrix from GAM fit
full.score

GCV/UBRE score for use within nlm
summary.gam

Summary for a GAM fit
linear.functional.terms

Linear functionals of a smooth in GAMs
qq.gam

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

Splines on the sphere
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
gam.side

Identifiability side conditions for a GAM
gam.check

Some diagnostics for a fitted gam model
fixDependence

Detect linear dependencies of one matrix on another
gam2objective

Objective functions for GAM smoothing parameter estimation
gamSim

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

Penalized Cubic regression splines in GAMs
get.var

Get named variable or evaluate expression from list or data.frame
ls.size

Size of list elements
t2

Define alternative tensor product smooths in GAM formulae
gam.control

Setting GAM fitting defaults
rTweedie

Generate Tweedie random deviates
new.name

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

Extract the log likelihood for a fitted GAM
Tweedie

GAM Tweedie family
spasm.construct

Experimental sparse smoothers
formXtViX

Form component of GAMM covariance matrix