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