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mgcv (version 1.7-28)

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

1.7-28

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

January 29th, 2014

Functions in mgcv (1.7-28)

fix.family.link

Modify families for use in GAM fitting and checking
Predict.matrix.cr.smooth

Predict matrix method functions
formXtViX

Form component of GAMM covariance matrix
columb

Reduced version of Columbus OH crime data
gamObject

Fitted gam object
smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs
smooth.construct.so.smooth.spec

Soap film smoother constructer
new.name

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

Generalized Additive Model Selection
gam.fit3

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

Default GAM plotting
fs.test

FELSPLINE test function
sp.vcov

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

Generalized Additive Model residuals
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
random.effects

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

Low rank Duchon 1977 splines
smooth.construct.fs.smooth.spec

Factor smooth interactions in GAMs
Rrank

Find rank of upper triangular matrix
print.gam

Print a Generalized Additive Model object.
te

Define tensor product smooths or tensor product interactions in GAM formulae
gam

Generalized additive models with integrated smoothness estimation
gam.fit

GAM P-IRLS estimation with GCV/UBRE smoothness estimation
linear.functional.terms

Linear functionals of a smooth in GAMs
negbin

GAM negative binomial family
smooth.construct.t2.smooth.spec

Tensor product smoothing constructor
choose.k

Basis dimension choice for smooths
bam

Generalized additive models for very large datasets
exclude.too.far

Exclude prediction grid points too far from data
bam.update

Update a strictly additive bam model for new data.
gamm

Generalized Additive Mixed Models
interpret.gam

Interpret a GAM formula
smooth.terms

Smooth terms in GAM
smooth.construct.ps.smooth.spec

P-splines in GAMs
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
gam2objective

Objective functions for GAM smoothing parameter estimation
initial.sp

Starting values for multiple smoothing parameter estimation
mgcv-package

Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
pcls

Penalized Constrained Least Squares Fitting
smooth.construct

Constructor functions for smooth terms in a GAM
Tweedie

GAM Tweedie family
gam.convergence

GAM convergence and performance issues
fixDependence

Detect linear dependencies of one matrix on another
gamSim

Simulate example data for GAMs
logLik.gam

Extract the log likelihood for a fitted GAM
full.score

GCV/UBRE score for use within nlm
influence.gam

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

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

Identifiability side conditions for a GAM
notExp

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

Visualization of GAM objects
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
magic.post.proc

Auxilliary information from magic fit
place.knots

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

QQ plots for gam model residuals
polys.plot

Plot geographic regions defined as polygons
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
inSide

Are points inside boundary?
in.out

Which of a set of points lie within a polygon defined region
ldTweedie

Log Tweedie density evaluation
null.space.dimension

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

Splines on the sphere
extract.lme.cov

Extract the data covariance matrix from an lme object
s

Defining smooths in GAM formulae
gam.check

Some diagnostics for a fitted gam model
smooth.construct.mrf.smooth.spec

Markov Random Field Smooths
mroot

Smallest square root of matrix
smooth.construct.cr.smooth.spec

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

Penalized thin plate regression splines in GAMs
Predict.matrix

Prediction methods for smooth terms in a GAM
anova.gam

Approximate hypothesis tests related to GAM fits
formula.gam

GAM formula
predict.gam

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

Tensor product smoothing constructor
vcov.gam

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

Specifying generalized additive models
gam.outer

Minimize GCV or UBRE score of a GAM using `outer' iteration
ls.size

Size of list elements
mono.con

Monotonicity constraints for a cubic regression spline
model.matrix.gam

Extract model matrix from GAM fit
t2

Define alternative tensor product smooths in GAM formulae
concurvity

GAM concurvity measures
notExp2

Alternative to log parameterization for variance components
predict.bam

Prediction from fitted Big Additive Model model
get.var

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

Generate Tweedie random deviates
cSplineDes

Evaluate cyclic B spline basis
gam.control

Setting GAM fitting defaults
Predict.matrix.soap.film

Prediction matrix for soap film smooth
smooth.construct.re.smooth.spec

Simple random effects in GAMs
mgcv-parallel

Parallel computation in mgcv.
step.gam

Alternatives to step.gam
mgcv-FAQ

Frequently Asked Questions for package mgcv
summary.gam

Summary for a GAM fit
rig

Generate inverse Gaussian random deviates
slanczos

Compute truncated eigen decomposition of a symmetric matrix
gam.vcomp

Report gam smoothness estimates as variance components
pdTens

Functions implementing a pdMat class for tensor product smooths
spasm.construct

Experimental sparse smoothers
uniquecombs

find the unique rows in a matrix