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mgcv (version 1.7-17)

Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation

Description

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

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Version

Install

install.packages('mgcv')

Monthly Downloads

106,646

Version

1.7-17

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

May 23rd, 2012

Functions in mgcv (1.7-17)

bam

Generalized additive models for very large datasets
new.name

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

Basis dimension choice for smooths
formula.gam

GAM formula
smooth.construct.mrf.smooth.spec

Markov Random Field Smooths
te

Define tensor product smooths in GAM formulae
influence.gam

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

Generalized additive models with integrated smoothness estimation
bam.update

Update a strictly additive bam model for new data.
pen.edf

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

Log Tweedie density evaluation
gam2objective

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

Simple random effects in GAMs
slanczos

Compute truncated eigen decomposition of a symmetric matrix
in.out

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

Penalized thin plate regression splines in GAMs
Predict.matrix

Prediction methods for smooth terms in a GAM
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
get.var

Get named variable or evaluate expression from list or data.frame
Predict.matrix.cr.smooth

Predict matrix method functions
ls.size

Size of list elements
predict.bam

Prediction from fitted Big Additive Model model
anova.gam

Approximate hypothesis tests related to GAM fits
concurvity

GAM concurvity measures
predict.gam

Prediction from fitted GAM model
spasm.construct

Experimental sparse smoothers
gam.fit

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

Alternatives to step.gam
polys.plot

Plot geographic regions defined as polygons
vis.gam

Visualization of GAM objects
smooth.terms

Smooth terms in GAM
sp.vcov

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

GAM Tweedie family
initial.sp

Starting values for multiple smoothing parameter estimation
uniquecombs

find the unique rows in a matrix
print.gam

Print a Generalized Additive Model object.
smooth.construct.sos.smooth.spec

Splines on the sphere
smooth.construct

Constructor functions for smooth terms in a GAM
gam.side

Identifiability side conditions for a GAM
rig

Generate inverse Gaussian random deviates
magic

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

Report gam smoothness estimates as variance components
cSplineDes

Evaluate cyclic B spline basis
columb

Reduced version of Columbus OH crime data
gam.outer

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

Simulate example data for GAMs
gam.selection

Generalized Additive Model Selection
mgcv-package

Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
place.knots

Automatically place a set of knots evenly through covariate values
pdTens

Functions implementing a pdMat class for tensor product smooths
smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs
fix.family.link

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

Factor smooth interactions in GAMs
smooth.construct.ds.smooth.spec

Low rank Duchon 1977 splines
gam.models

Specifying generalized additive models
gamObject

Fitted gam object
vcov.gam

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

Default GAM plotting
pcls

Penalized Constrained Least Squares Fitting
mono.con

Monotonicity constraints for a cubic regression spline
s

Defining smooths in GAM formulae
exclude.too.far

Exclude prediction grid points too far from data
extract.lme.cov

Extract the data covariance matrix from an lme object
gam.fit3

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

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

Tensor product smoothing constructor
residuals.gam

Generalized Additive Model residuals
gam.control

Setting GAM fitting defaults
gam.convergence

GAM convergence and performance issues
model.matrix.gam

Extract model matrix from GAM fit
negbin

GAM negative binomial family
notExp

Functions for better-than-log positive parameterization
rTweedie

Generate Tweedie random deviates
gam.check

Some diagnostics for a fitted gam model
qq.gam

QQ plots for gam model residuals
summary.gam

Summary for a GAM fit
gamm

Generalized Additive Mixed Models
mgcv-FAQ

Frequently Asked Questions for package mgcv
logLik.gam

Extract the log likelihood for a fitted GAM
null.space.dimension

The basis of the space of un-penalized functions for a TPRS
t2

Define alternative tensor product smooths in GAM formulae
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
notExp2

Alternative to log parameterization for variance components
random.effects

Random effects in GAMs
interpret.gam

Interpret a GAM formula
tensor.prod.model.matrix

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

P-splines in GAMs
full.score

GCV/UBRE score for use within nlm
formXtViX

Form component of GAMM covariance matrix
linear.functional.terms

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

Penalized Cubic regression splines in GAMs
magic.post.proc

Auxilliary information from magic fit
mroot

Smallest square root of matrix