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