Default GAM plotting
Generalized Additive Model default print statement
Functions for better-than-log positive parameterization
Prediction from fitted GAM model
Visualization of GAM objects
Overflow proof pdMat class for multiples of the identity matrix
Functions implementing a pdMat class for tensor product smooths
Define tensor product smooths in GAM formulae
Auxilliary information from magic fit
find the unique rows in a matrix
Generalized Additive Model residuals
Obtain a name for a new variable that is not already in use
Utility functions for constructing tensor product smooths
Generalized Additive Model set up.
Identifiability side conditions for a GAM.
The basis of the space of un-penalized functions for a t.p.r.s.
Constructor functions for smooth terms in a GAM
Automatically place a set of knots evenly through covariate values
Setting mgcv defaults
Defining smooths in GAM formulae
Specifying generalized Additive Models.
Generalized Additive Model Selection
Summary for a GAM fit
Get named variable or evaluate expression from list or data.frame
Setting GAM fitting defaults
Stable Multiple Smoothing Parameter Estimation by GCV or UBRE,
with optional fixed penalty
Monotonicity constraints for a cubic regression spline.
Prediction methods for smooth terms in a GAM
Generalized Additive Models using penalized regression splines and
GCV
Some diagnostics for a fitted gam model.
Multiple Smoothing Parameter Estimation by GCV or UBRE
GAMs with the negative binomial distribution
GCV/UBRE score for use within nlm
Extract the data covariance matrix from an lme object
Exclude prediction grid points too far from data
Interpret a GAM formula
Generalized Additive Mixed Models
Smallest square root of matrix
Generalized Additive Mixed Model set up.
Generalized Additive Models fitting using penalized regression splines and
GCV
Penalized Constrained Least Squares Fitting