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