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