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

## Documentation for package `mgcv' version 1.3-1

## Help Pages

anova.gam | Hypothesis tests related to GAM fits
coef.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
coef.pdTens | Functions implementing a pdMat class for tensor product smooths
corMatrix.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
Dim.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
exclude.too.far | Exclude prediction grid points too far from data
extract.lme.cov | Extract the data covariance matrix from an lme object
extract.lme.cov2 | Extract the data covariance matrix from an lme object
fix.family.link | Modify families for use in GAM fitting
fix.family.var | Modify families for use in GAM fitting
fixDependence | Detect linear dependencies of one matrix on another
formula.gam | Extract the formula from a gam object.
formXtViX | Form component of GAMM covariance matrix
full.score | GCV/UBRE score for use within nlm
gam | Generalized additive models with integrated smoothness estimation
gam.check | Some diagnostics for a fitted gam model.
gam.control | Setting GAM fitting defaults
gam.convergence | GAM convergence and performance issues.
gam.fit | GAM P-IRLS estimation with GCV/UBRE smoothness estimation.
gam.fit2 | P-IRLS GAM estimation with GCV & UBRE derivative calculation
gam.method | Setting GAM fitting method
gam.models | Specifying Generalized Additive Models.
gam.neg.bin | GAMs with the negative binomial distribution
gam.outer | Minimize GCV or UBRE score of a GAM using `outer' iteration
gam.performance | GAM convergence and performance issues.
gam.selection | Generalized Additive Model Selection
gam.setup | Generalized Additive Model set up.
gam.side | Identifiability side conditions for a GAM.
gam2derivative | Objective functions for GAM smoothing parameter estimation.
gam2objective | Objective functions for GAM smoothing parameter estimation.
gam3objective | Objective functions for GAM smoothing parameter estimation.
gamm | Generalized Additive Mixed Models
gamm.setup | Generalized Additive Mixed Model set up.
gamObject | Fitted gam object
get.var | Get named variable or evaluate expression from list or data.frame
influence.gam | Extract the diagonal of the Influence/Hat matrix for a GAM.
initial.sp | Starting values for multiple smoothing parameter estimation.
interpret.gam | Interpret a GAM formula
logDet.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
logLik.gam | Extract the log likelihood for a fitted GAM
magic | Stable Multiple Smoothing Parameter Estimation by GCV or UBRE, with optional fixed penalty
magic.post.proc | Auxilliary information from magic fit
mgcv | Multiple Smoothing Parameter Estimation by GCV or UBRE
mgcv.control | Setting mgcv defaults
mgcv.find.theta | GAMs with the negative binomial distribution
mgcv.get.scale | GAMs with the negative binomial distribution
mono.con | Monotonicity constraints for a cubic regression spline.
mroot | Smallest square root of matrix
new.name | Obtain a name for a new variable that is not already in use
notExp | Functions for better-than-log positive parameterization
notLog | Functions for better-than-log positive parameterization
null.space.dimension | The basis of the space of un-penalized functions for a t.p.r.s.
p.spline | Constructor functions for smooth terms in a GAM
pcls | Penalized Constrained Least Squares Fitting
pdConstruct.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
pdConstruct.pdTens | Functions implementing a pdMat class for tensor product smooths
pdFactor.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
pdFactor.pdTens | Functions implementing a pdMat class for tensor product smooths
pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
pdMatrix.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
pdMatrix.pdTens | Functions implementing a pdMat class for tensor product smooths
pdTens | Functions implementing a pdMat class for tensor product smooths
persp.gam | Visualization of GAM objects
place.knots | Automatically place a set of knots evenly through covariate values
plot.gam | Default GAM plotting
predict.gam | Prediction from fitted GAM model
Predict.matrix | Prediction methods for smooth terms in a GAM
Predict.matrix.cr.smooth | Prediction methods for smooth terms in a GAM
Predict.matrix.cs.smooth | Prediction methods for smooth terms in a GAM
Predict.matrix.cyclic.smooth | Prediction methods for smooth terms in a GAM
Predict.matrix.tensor.smooth | Prediction methods for smooth terms in a GAM
Predict.matrix.tprs.smooth | Prediction methods for smooth terms in a GAM
Predict.matrix.ts.smooth | Prediction methods for smooth terms in a GAM
PredictMat | Prediction/Construction wrapper functions for GAM smooth terms
print.anova.gam | Hypothesis tests related to GAM fits
print.gam | Generalized Additive Model default print statement
print.summary.gam | Summary for a GAM fit
residuals.gam | Generalized Additive Model residuals
s | Defining smooths in GAM formulae
smooth.construct | Constructor functions for smooth terms in a GAM
smooth.construct.cc.smooth.spec | Constructor functions for smooth terms in a GAM
smooth.construct.cr.smooth.spec | Constructor functions for smooth terms in a GAM
smooth.construct.cs.smooth.spec | Constructor functions for smooth terms in a GAM
smooth.construct.tensor.smooth.spec | Constructor functions for smooth terms in a GAM
smooth.construct.tp.smooth.spec | Constructor functions for smooth terms in a GAM
smooth.construct.ts.smooth.spec | Constructor functions for smooth terms in a GAM
smoothCon | Prediction/Construction wrapper functions for GAM smooth terms
solve.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
step.gam | Alternatives to step.gam
summary.gam | Summary for a GAM fit
summary.pdIdnot | Overflow proof pdMat class for multiples of the identity matrix
summary.pdTens | Functions implementing a pdMat class for tensor product smooths
te | Define tensor product smooths in GAM formulae
tensor.prod.model.matrix | Utility functions for constructing tensor product smooths
tensor.prod.penalties | Utility functions for constructing tensor product smooths
uniquecombs | find the unique rows in a matrix
vcov.gam | Extract parameter (estimator) covariance matrix from GAM fit
vis.gam | Visualization of GAM objects