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