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