exclude.too.far         Exclude prediction grid points too far from
                        data
full.score              GCV/UBRE score for use withn nlm
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
gam.models              Specifying generalized Additive Models.
gam.neg.bin             GAMs with the negative binomial distribution
gam.parser              Generalized Additive Model fitting using
                        penalized regression splines and GCV
gam                     Generalized Additive Models using penalized
                        regression splines and GCV
gam.selection           Generalized Additive Model Selection
gam.setup               Generalized Additive Model set up.
GAMsetup                Set up GAM using penalized regression splines
gam.side.conditions     Identifiability side conditions for a GAM.
magic.post.proc         Auxilliary information from magic fit
magic                   Stable Multiple Smoothing Parameter Estimation
                        by GCV or UBRE, with optional fixed penalty
mgcv                    Multiple Smoothing Parameter Estimation by GCV
                        or UBRE
mono.con                Monotonicity constraints for a cubic
                        regression spline.
mroot                   Smallest square root of matrix
null.space.dimension    The basis of the space of un-penalized
                        functions for a t.p.r.s.
pcls                    Penalized Constrained Least Squares Fitting
plot.gam                Default GAM plotting
predict.gam             Prediction from fitted GAM model
print.gam               Generalized Additive Model default print
                        statement
QT                      QT factorisation of a matrix
residuals.gam           Generalized Additive Model residuals
s                       Defining smooths in GAM formulae
summary.gam             Summary for a GAM fit
uniquecombs             find the unique rows in a matrix
vis.gam                 Visualization of GAM objects
