exclude.too.far         Exclude prediction grid points too far from
                        data
extract.lme.cov         Extract the data covariance matrix from an lme
                        object
full.score              GCV/UBRE score for use within nlm
gam                     Generalized Additive Models using penalized
                        regression splines and GCV
gam.check               Some diagnostics for a fitted gam model.
gam.control             Setting GAM fitting defaults
gam.fit                 Generalized Additive Models fitting using
                        penalized regression splines and GCV
gamm                    Generalized Additive Mixed Models
gam.models              Specifying generalized Additive Models.
gamm.setup              Generalized Additive Mixed Model set up.
gam.neg.bin             GAMs with the negative binomial distribution
gam.selection           Generalized Additive Model Selection
gam.setup               Generalized Additive Model set up.
gam.side.conditions     Identifiability side conditions for a GAM.
get.var                 Get named variable or evaluate expression from
                        list or data.frame
interpret.gam           Interpret a GAM formula
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
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
null.space.dimension    The basis of the space of un-penalized
                        functions for a t.p.r.s.
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
smooth.construct        Constructor functions for smooth terms in a
                        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
vis.gam                 Visualization of GAM objects
