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