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