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