Learn R Programming

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

mgcv (version 1.7-29)

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.

Copy Link

Version

Install

install.packages('mgcv')

Monthly Downloads

154,135

Version

1.7-29

License

GPL (>= 2)

Maintainer

Simon Wood

Last Published

March 31st, 2014

Functions in mgcv (1.7-29)

bam

Generalized additive models for very large datasets
cSplineDes

Evaluate cyclic B spline basis
formula.gam

GAM formula
gam.fit3

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

Generalized Additive Mixed Models
initial.sp

Starting values for multiple smoothing parameter estimation
summary.gam

Summary for a GAM fit
exclude.too.far

Exclude prediction grid points too far from data
Predict.matrix.soap.film

Prediction matrix for soap film smooth
gam.control

Setting GAM fitting defaults
fs.test

FELSPLINE test function
gam.side

Identifiability side conditions for a GAM
influence.gam

Extract the diagonal of the influence/hat matrix for a GAM
null.space.dimension

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

Generalized additive models with integrated smoothness estimation
print.gam

Print a Generalized Additive Model object.
random.effects

Random effects in GAMs
gam.outer

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

Report gam smoothness estimates as variance components
predict.bam

Prediction from fitted Big Additive Model model
pen.edf

Extract the effective degrees of freedom associated with each penalty in a gam fit
magic.post.proc

Auxilliary information from magic fit
ls.size

Size of list elements
smooth.construct.ad.smooth.spec

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

Soap film smoother constructer
notExp2

Alternative to log parameterization for variance components
notExp

Functions for better-than-log positive parameterization
pcls

Penalized Constrained Least Squares Fitting
negbin

GAM negative binomial family
uniquecombs

find the unique rows in a matrix
gam.check

Some diagnostics for a fitted gam model
rTweedie

Generate Tweedie random deviates
mgcv-parallel

Parallel computation in mgcv.
step.gam

Alternatives to step.gam
residuals.gam

Generalized Additive Model residuals
vis.gam

Visualization of GAM objects
s

Defining smooths in GAM formulae
gam.fit

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

Default GAM plotting
smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs
smooth.construct.tensor.smooth.spec

Tensor product smoothing constructor
rig

Generate inverse Gaussian random deviates
Rrank

Find rank of upper triangular matrix
smooth.construct

Constructor functions for smooth terms in a GAM
choose.k

Basis dimension choice for smooths
sp.vcov

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

Generalized Additive Model Selection
te

Define tensor product smooths or tensor product interactions in GAM formulae
fix.family.link

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

Factor smooth interactions in GAMs
smoothCon

Prediction/Construction wrapper functions for GAM smooth terms
gam2objective

Objective functions for GAM smoothing parameter estimation
magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
pdIdnot

Overflow proof pdMat class for multiples of the identity matrix
place.knots

Automatically place a set of knots evenly through covariate values
smooth.construct.ds.smooth.spec

Low rank Duchon 1977 splines
logLik.gam

Extract the log likelihood for a fitted GAM
mgcv-package

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

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

Frequently Asked Questions for package mgcv
bam.update

Update a strictly additive bam model for new data.
columb

Reduced version of Columbus OH crime data
spasm.construct

Experimental sparse smoothers
gam.models

Specifying generalized additive models
qq.gam

QQ plots for gam model residuals
interpret.gam

Interpret a GAM formula
gamObject

Fitted gam object
gamSim

Simulate example data for GAMs
predict.gam

Prediction from fitted GAM model
smooth.terms

Smooth terms in GAM
in.out

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

P-splines in GAMs
concurvity

GAM concurvity measures
gam.convergence

GAM convergence and performance issues
Predict.matrix

Prediction methods for smooth terms in a GAM
pdTens

Functions implementing a pdMat class for tensor product smooths
mono.con

Monotonicity constraints for a cubic regression spline
extract.lme.cov

Extract the data covariance matrix from an lme object
fixDependence

Detect linear dependencies of one matrix on another
model.matrix.gam

Extract model matrix from GAM fit
mroot

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

Markov Random Field Smooths
full.score

GCV/UBRE score for use within nlm
ldTweedie

Log Tweedie density evaluation
linear.functional.terms

Linear functionals of a smooth in GAMs
Predict.matrix.cr.smooth

Predict matrix method functions
Tweedie

GAM Tweedie family
formXtViX

Form component of GAMM covariance matrix
smooth.construct.t2.smooth.spec

Tensor product smoothing constructor
anova.gam

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

Splines on the sphere
vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit
get.var

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

Plot geographic regions defined as polygons
slanczos

Compute truncated eigen decomposition of a symmetric matrix
t2

Define alternative tensor product smooths in GAM formulae
smooth.construct.cr.smooth.spec

Penalized Cubic regression splines in GAMs
inSide

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

Simple random effects in GAMs
tensor.prod.model.matrix

Utility functions for constructing tensor product smooths