mgcv package - RDocumentation

fixDependence

Detect linear dependencies of one matrix on another

formula.gam

GAM formula

Predict.matrix.cr.smooth

Predict matrix method functions

gam.side

Identifiability side conditions for a GAM

anova.gam

Approximate hypothesis tests related to GAM fits

influence.gam

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

gam.selection

Generalized Additive Model Selection

gam.models

Specifying generalized additive models

gam.outer

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

gam.convergence

GAM convergence and performance issues

bam.update

Update a strictly additive bam model for new data.

choose.k

Basis dimension choice for smooths

formXtViX

Form component of GAMM covariance matrix

fix.family.link

Modify families for use in GAM fitting and checking

gamObject

Fitted gam object

get.var

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

in.out

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

gam.control

Setting GAM fitting defaults

concurvity

GAM concurvity measures

summary.gam

Summary for a GAM fit

ldTweedie

Log Tweedie density evaluation

notExp

Functions for better-than-log positive parameterization

place.knots

Automatically place a set of knots evenly through covariate values

mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE

negbin

GAM negative binomial family

gamm

Generalized Additive Mixed Models

te

Define tensor product smooths in GAM formulae

rig

Generate inverse Gaussian random deviates

gam.fit3

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

magic

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

gam.check

Some diagnostics for a fitted gam model

initial.sp

Starting values for multiple smoothing parameter estimation

gamSim

Simulate example data for GAMs

rTweedie

Generate Tweedie random deviates

interpret.gam

Interpret a GAM formula

step.gam

Alternatives to step.gam

columb

Reduced version of Columbus OH crime data

mgcv.control

Setting mgcv defaults

linear.functional.terms

Linear functionals of a smooth in GAMs

gam.vcomp

Report gam smoothness estimates as variance components

pdIdnot

Overflow proof pdMat class for multiples of the identity matrix

predict.gam

Prediction from fitted GAM model

mgcv-package

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

smooth.construct.mrf.smooth.spec

Markov Random Field Smooths

sp.vcov

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

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

spasm.construct

Experimental sparse smoothers

vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit

residuals.gam

Generalized Additive Model residuals

smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs

Tweedie

GAM Tweedie family

pcls

Penalized Constrained Least Squares Fitting

magic.post.proc

Auxilliary information from magic fit

plot.gam

Default GAM plotting

smooth.construct

Constructor functions for smooth terms in a GAM

model.matrix.gam

Extract model matrix from GAM fit

new.name

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

vis.gam

Visualization of GAM objects

polys.plot

Plot geographic regions defined as polygons

logLik.gam

Extract the log likelihood for a fitted GAM

smooth.construct.ps.smooth.spec

P-splines in GAMs

Predict.matrix

Prediction methods for smooth terms in a GAM

mroot

Smallest square root of matrix

full.score

GCV/UBRE score for use within nlm

notExp2

Alternative to log parameterization for variance components

null.space.dimension

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

tensor.prod.model.matrix

Utility functions for constructing tensor product smooths

qq.gam

QQ plots for gam model residuals

gam

Generalized additive models with integrated smoothness estimation

ls.size

Size of list elements

bam

Generalized additive models for very large datasets

Predict.matrix.soap.film

Prediction matrix for soap film smooth

smoothCon

Prediction/Construction wrapper functions for GAM smooth terms

uniquecombs

find the unique rows in a matrix

smooth.construct.cr.smooth.spec

Penalized Cubic regression splines in GAMs

smooth.construct.re.smooth.spec

Simple random effects in GAMs

random.effects

Random effects in GAMs

extract.lme.cov

Extract the data covariance matrix from an lme object

fs.test

FELSPLINE test function

inSide

Are points inside boundary?

smooth.construct.tensor.smooth.spec

Tensor product smoothing constructor

gam2objective

Objective functions for GAM smoothing parameter estimation

predict.bam

Prediction from fitted Big Additive Model model

exclude.too.far

Exclude prediction grid points too far from data

smooth.construct.ds.smooth.spec

Low rank Duchon 1977 splines

smooth.construct.fs.smooth.spec

Factor smooth interactions in GAMs

smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs

smooth.terms

Smooth terms in GAM

slanczos

Compute truncated eigen decomposition of a symmetric matrix

Rrank

Find rank of upper triangular matrix

mono.con

Monotonicity constraints for a cubic regression spline

smooth.construct.sos.smooth.spec

Splines on the sphere

cSplineDes

Evaluate cyclic B spline basis

print.gam

Print a Generalized Additive Model object.

mgcv-FAQ

Frequently Asked Questions for package mgcv

mgcv-parallel

Parallel computation in mgcv.

gam.fit

GAM P-IRLS estimation with GCV/UBRE smoothness estimation

s

Defining smooths in GAM formulae

t2

Define alternative tensor product smooths in GAM formulae

smooth.construct.t2.smooth.spec

Tensor product smoothing constructor

smooth.construct.so.smooth.spec

Soap film smoother constructer

mgcv (version 1.7-2)

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

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Functions in mgcv (1.7-2)