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