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