Prediction methods for smooth terms in a GAM
Generalized additive models for very large datasets
Exclude prediction grid points too far from data
Extract the data covariance matrix from an lme object
Detect linear dependencies of one matrix on another
Form component of GAMM covariance matrix
Generalized additive models with integrated smoothness estimation
GAM P-IRLS estimation with GCV/UBRE smoothness estimation
P-IRLS GAM estimation with GCV & UBRE/AIC or RE/ML derivative calculation
Minimize GCV or UBRE score of a GAM using 'outer' iteration
Identifiability side conditions for a GAM
Objective functions for GAM smoothing parameter estimation
Get named variable or evaluate expression from list or data.frame
Extract the diagonal of the influence/hat matrix for a GAM
Starting values for multiple smoothing parameter estimation
Extract the log likelihood for a fitted GAM
Stable Multiple Smoothing Parameter Estimation by GCV or UBRE, 
with optional fixed penalty
GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
Multiple Smoothing Parameter Estimation by GCV or UBRE
Monotonicity constraints for a cubic regression spline
Obtain a name for a new variable that is not already in use
Functions for better-than-log positive parameterization
Alternative to log parameterization for variance components
The basis of the space of un-penalized functions for a TPRS
Penalized Constrained Least Squares Fitting
Overflow proof pdMat class for multiples of the identity matrix
Functions implementing a pdMat class for tensor product smooths
Automatically place a set of knots evenly through covariate values
Print a Generalized Additive Model object.
Generate inverse Gaussian random deviates
Constructor functions for smooth terms in a GAM
Penalized Cubic regression splines in GAMs
Penalized thin plate regression splines in GAMs
Prediction/Construction wrapper functions for GAM smooth terms
Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit
Define tensor product smooths in GAM formulae
Utility functions for constructing tensor product smooths
Extract parameter (estimator) covariance matrix from GAM fit