GAMsetup                Set up GAM using penalized regression splines
QT                      QT factorisation of a matrix 
gam                     Generalized Additive Models using penalized
                        regression splines and GCV
gam.check               Some diagnostics for a fitted gam model.
gam.control             Setting Generalized Additive Models fitting
                        defaults
gam.fit                 Generalized Additive Models fitting using
                        penalized regression splines and GCV
gam.models              Specifying generalized Additive Models.
gam.nbut                Generalized Additive Models using Negative
                        Binomial errors with unknown theta
gam.parser              Generalized Additive Model fitting using
                        penalized regression splines and GCV
gam.selection           Generalized Additive Model Selection
gam.setup               Generalized Additive Model set up.
gam.side.conditions     Identifiability side conditions for a GAM.
get.family              Identifies families
mgcv                    Multiple Smoothing Parameter Estimation by GCV
                        or UBRE
mono.con                Monotonicity constraints for a cubic regression
                        spline.
neg.binom               Family function for Negative Binomial GAMs 
null.space.dimension    The basis of the space of un-penalized
                        functions for a t.p.r.s.
pcls                    Penalized Constrained Least Squares Fitting
persp.gam               Perspective Plot of GAM objects
plot.gam                Default GAM plotting
predict.gam             Prediction from fitted GAM model
print.gam               Generalized Additive Model default print
                        statement
residuals.gam           Generalized Additive Model residuals
s                       Defining smooths in GAM formulae
summary.gam             Summary for a GAM fit
theta.maxl              Estimate theta of the Negative Binomial by
                        Maximum Likelihood 
uniquecombs             find the unique rows in a matrix 
