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