anova.gam               Hypothesis tests related to GAM fits
exclude.too.far         Exclude prediction grid points too far from
                        data
extract.lme.cov         Extract the data covariance matrix from an lme
                        object
fixDependence           Detect linear dependencies of one matrix on
                        another
fix.family.link         Modify families for use in GAM fitting
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
gam2objective           Objective functions for GAM smoothing parameter
                        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
gamm                    Generalized Additive Mixed Models
gam.method              Setting GAM fitting method
gam.models              Specifying generalized additive models
gamm.setup              Generalized additive mixed model set up
gam.neg.bin             GAMs with the negative binomial distribution
gamObject               Fitted gam object
gam.outer               Minimize GCV or UBRE score of a GAM using
                        'outer' iteration
gam.selection           Generalized Additive Model Selection
gam.setup               Generalized additive model set up
gam.side                Identifiability side conditions for a GAM
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
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-package            GAMs with GCV smoothness estimation and GAMMs
                        by REML/PQL
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
notExp2                 Alternative to log parameterization for
                        variance components
null.space.dimension    The basis of the space of un-penalized
                        functions for a TPRS
pcls                    Penalized Constrained Least Squares Fitting
pdIdnot                 Overflow proof pdMat class for multiples of the
                        identity matrix
pdTens                  Functions implementing a pdMat class for tensor
                        product smooths
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
print.gam               Generalized Additive Model default print
                        statement
residuals.gam           Generalized Additive Model residuals
s                       Defining smooths in GAM formulae
smoothCon               Prediction/Construction wrapper functions for
                        GAM smooth terms
smooth.construct        Constructor functions for smooth terms in a GAM
step.gam                Alternatives to step.gam
summary.gam             Summary for a GAM fit
te                      Define tensor product smooths in GAM formulae
tensor.prod.model.matrix
                        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
