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