Learn R Programming
⚠️There's a newer version (1.9-3) of this package.Take me there.

mgcv (version 1.8-9)

Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness Estimation

Description

GAMs, GAMMs and other generalized ridge regression with multiple smoothing parameter estimation by GCV, REML or UBRE/AIC. Includes a gam() function, a wide variety of smoothers, JAGS support and distributions beyond the exponential family.

Copy Link

Version

Install

install.packages('mgcv')

Monthly Downloads

134,785

Version

1.8-9

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

October 30th, 2015

Functions in mgcv (1.8-9)

smooth.construct.ps.smooth.spec

P-splines in GAMs
vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit
exclude.too.far

Exclude prediction grid points too far from data
Rrank

Find rank of upper triangular matrix
sp.vcov

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

Fitted gam object
gam.fit3

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

Just Another Gibbs Additive Modeller: JAGS support for mgcv.
gam.fit

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

Zero inflated Poisson location-scale model family
betar

GAM beta regression family
fixDependence

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

Soap film smoother constructer
extract.lme.cov

Extract the data covariance matrix from an lme object
smooth.construct.re.smooth.spec

Simple random effects in GAMs
bam.update

Update a strictly additive bam model for new data.
interpret.gam

Interpret a GAM formula
smooth.terms

Smooth terms in GAM
fs.test

FELSPLINE test function
columb

Reduced version of Columbus OH crime data
step.gam

Alternatives to step.gam
gam

Generalized additive models with integrated smoothness estimation
new.name

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

GAM scaled t family for heavy tailed data
pcls

Penalized Constrained Least Squares Fitting
gam.check

Some diagnostics for a fitted gam model
gam2objective

Objective functions for GAM smoothing parameter estimation
pdTens

Functions implementing a pdMat class for tensor product smooths
mvn

Multivariate normal additive models
spasm.construct

Experimental sparse smoothers
ocat

GAM ordered categorical family
slanczos

Compute truncated eigen decomposition of a symmetric matrix
smooth.construct.gp.smooth.spec

Low rank Gaussian process smooths
initial.sp

Starting values for multiple smoothing parameter estimation
smooth.construct.ds.smooth.spec

Low rank Duchon 1977 splines
logLik.gam

Log likelihood for a fitted GAM, for AIC
gam.selection

Generalized Additive Model Selection
ls.size

Size of list elements
Predict.matrix.cr.smooth

Predict matrix method functions
family.mgcv

Distribution families in mgcv
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs
random.effects

Random effects in GAMs
mroot

Smallest square root of matrix
cox.ph

Additive Cox Proportional Hazard Model
gam.convergence

GAM convergence and performance issues
gam.outer

Minimize GCV or UBRE score of a GAM using `outer' iteration
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths
plot.gam

Default GAM plotting
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
Tweedie

GAM Tweedie families
gamm

Generalized Additive Mixed Models
gam.models

Specifying generalized additive models
mgcv.FAQ

Frequently Asked Questions for package mgcv
formXtViX

Form component of GAMM covariance matrix
get.var

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

Print a Generalized Additive Model object.
summary.gam

Summary for a GAM fit
notExp2

Alternative to log parameterization for variance components
ldTweedie

Log Tweedie density evaluation
predict.bam

Prediction from fitted Big Additive Model model
rmvn

Generate multivariate normal deviates
model.matrix.gam

Extract model matrix from GAM fit
smooth.construct.t2.smooth.spec

Tensor product smoothing constructor
anova.gam

Approximate hypothesis tests related to GAM fits
predict.gam

Prediction from fitted GAM model
pen.edf

Extract the effective degrees of freedom associated with each penalty in a gam fit
t2

Define alternative tensor product smooths in GAM formulae
cSplineDes

Evaluate cyclic B spline basis
full.score

GCV/UBRE score for use within nlm
Predict.matrix

Prediction methods for smooth terms in a GAM
choose.k

Basis dimension choice for smooths
te

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

Identifiability side conditions for a GAM
single.index

Single index models with mgcv
gaulss

Gaussian location-scale model family
ziP

GAM zero-inflated Poisson regression family
null.space.dimension

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

Which of a set of points lie within a polygon defined region
polys.plot

Plot geographic regions defined as polygons
fix.family.link

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

Factor smooth interactions in GAMs
mono.con

Monotonicity constraints for a cubic regression spline
place.knots

Automatically place a set of knots evenly through covariate values
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
mgcv.parallel

Parallel computation in mgcv.
rTweedie

Generate Tweedie random deviates
Predict.matrix.soap.film

Prediction matrix for soap film smooth
influence.gam

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

Generate inverse Gaussian random deviates
linear.functional.terms

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

Adaptive smooths in GAMs
smooth.construct

Constructor functions for smooth terms in a GAM
uniquecombs

find the unique rows in a matrix
residuals.gam

Generalized Additive Model residuals
magic.post.proc

Auxilliary information from magic fit
inSide

Are points inside boundary?
smooth.construct.cr.smooth.spec

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

Tensor product smoothing constructor
negbin

GAM negative binomial families
formula.gam

GAM formula
vis.gam

Visualization of GAM objects
gam.control

Setting GAM fitting defaults
qq.gam

QQ plots for gam model residuals
s

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

Markov Random Field Smooths
gamSim

Simulate example data for GAMs
gam.scale

Scale parameter estimation in GAMs
notExp

Functions for better-than-log positive parameterization
bam

Generalized additive models for very large datasets
concurvity

GAM concurvity measures
gam.vcomp

Report gam smoothness estimates as variance components
mgcv.package

Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
smooth.construct.sos.smooth.spec

Splines on the sphere