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