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