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