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