Multiple smoothing parameter estimation and GAMs by GCV

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exclude.too.far Exclude prediction grid points too far from data
full.score GCV/UBRE score for use withn 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
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.selection Generalized Additive Model Selection
gam.setup Generalized Additive Model set up.
gam.side.conditions Identifiability side conditions for a GAM.
GAMsetup Set up GAM using penalized regression splines
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.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
null.space.basis.labels The basis of the space of un-penalized functions for a t.p.r.s.
null.space.basis.powers The basis of the space of un-penalized functions for a t.p.r.s.
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 Visualization of GAM objects
plot.gam Default GAM plotting
predict.gam Prediction from fitted GAM model
print.gam Generalized Additive Model default print statement
print.summary.gam Summary for a GAM fit
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