Some diagnostics for a fitted gam model
Basis dimension choice for smooths
Objective functions for GAM smoothing parameter estimation
Overflow proof pdMat class for multiples of the identity matrix
Minimize GCV or UBRE score of a GAM using `outer' iteration
Extract the log likelihood for a fitted GAM
find the unique rows in a matrix
Prediction methods for smooth terms in a GAM
smooth.construct.sos.smooth.spec
Splines on the sphere
Extract parameter (estimator) covariance matrix from GAM fit
Reduced version of Columbus OH crime data
Detect linear dependencies of one matrix on another
GAM Tweedie family
GCV/UBRE score for use within nlm
Generalized Additive Model Selection
Constructor functions for smooth terms in a GAM
Form component of GAMM covariance matrix
Functions for better-than-log positive parameterization
Define tensor product smooths in GAM formulae
Functions implementing a pdMat class for tensor product smooths
Fitted gam object
Evaluate cyclic B spline basis
smooth.construct.mrf.smooth.spec
Markov Random Field Smooths
smooth.construct.cr.smooth.spec
Penalized Cubic regression splines in GAMs
GAM concurvity measures
Report gam smoothness estimates as variance components
Plot geographic regions defined as polygons
Obtain a name for a new variable that is not already in use
Approximate hypothesis tests related to GAM fits
Predict matrix method functions
Get named variable or evaluate expression from list or data.frame
Simulate example data for GAMs
Print a Generalized Additive Model object.
Exclude prediction grid points too far from data
Alternative to log parameterization for variance components
Default GAM plotting
Setting GAM fitting defaults
Generate Tweedie random deviates
Alternatives to step.gam
Setting mgcv defaults
Visualization of GAM objects
smooth.construct.fs.smooth.spec
Factor smooth interactions in GAMs
Define alternative tensor product smooths in GAM formulae
Smallest square root of matrix
smooth.construct.ds.smooth.spec
Low rank Duchon 1977 splines
Identifiability side conditions for a GAM
Smooth terms in GAM
Auxilliary information from magic fit
Which of a set of points lie within a polygon defined region
Extract model matrix from GAM fit
Prediction/Construction wrapper functions for GAM smooth terms
Size of list elements
Linear functionals of a smooth in GAMs
Summary for a GAM fit
Starting values for multiple smoothing parameter estimation
smooth.construct.ps.smooth.spec
P-splines in GAMs
smooth.construct.tp.smooth.spec
Penalized thin plate regression splines in GAMs
Modify families for use in GAM fitting and checking
GAM P-IRLS estimation with GCV/UBRE smoothness estimation
Prediction from fitted GAM model
GAM formula
GAM convergence and performance issues
smooth.construct.ad.smooth.spec
Adaptive smooths in GAMs
Update a strictly additive bam model for new data.
Extract the data covariance matrix from an lme object
Monotonicity constraints for a cubic regression spline
QQ plots for gam model residuals
Log Tweedie density evaluation
Generate inverse Gaussian random deviates
Generalized Additive Model residuals
Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit
Defining smooths in GAM formulae
Generalized additive models for very large datasets
Extract the diagonal of the influence/hat matrix for a GAM
Multiple Smoothing Parameter Estimation by GCV or UBRE
Frequently Asked Questions for package mgcv
Automatically place a set of knots evenly through covariate values
smooth.construct.tensor.smooth.spec
Tensor product smoothing constructor
Generalized Additive Mixed Models
Utility functions for constructing tensor product smooths
Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
Penalized Constrained Least Squares Fitting
Generalized additive models with integrated smoothness estimation
Specifying generalized additive models
Interpret a GAM formula
GAM negative binomial family
Compute truncated eigen decomposition of a symmetric matrix
Experimental sparse smoothers
The basis of the space of un-penalized functions for a TPRS
P-IRLS GAM estimation with GCV & UBRE/AIC or RE/ML derivative calculation
GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
Extract the effective degrees of freedom associated with each penalty in a gam fit
smooth.construct.re.smooth.spec
Simple random effects in GAMs
Random effects in GAMs