GAM Tweedie families
Applying re-parameterization from log-determinant of penalty matrix to
model matrix.
Setting up a list representing a block diagonal penalty matrix
Re-parametrizing model matrix X
Predict matrix method functions
Find rank of upper triangular matrix
Prediction methods for smooth terms in a GAM
Level 5 fractional factorial designs
GAM beta regression family
Prediction matrix for soap film smooth
Deletion and rank one Cholesky factor update
Evaluate cyclic B spline basis
Reporting mgcv bugs.
Generalized additive models for very large datasets
Update a strictly additive bam model for new data.
Basis dimension choice for smooths
BLAS thread safety
Obtaining derivative w.r.t. linear predictor
Exclude prediction grid points too far from data
Choleski decomposition of a band diagonal matrix
Detect linear dependencies of one matrix on another
Modify families for use in GAM fitting and checking
GAM concurvity measures
Reduced version of Columbus OH crime data
Extract the data covariance matrix from an lme object
Distribution families in mgcv
GAM convergence and performance issues
Setting GAM fitting defaults
Form component of GAMM covariance matrix
GAM formula
Additive Cox proportional hazard models with time varying covariates
Approximate hypothesis tests related to GAM fits
Internal functions for discretized model matrix handling
Additive Cox Proportional Hazard Model
FELSPLINE test function
GCV/UBRE score for use within nlm
Identifiability side conditions for a GAM
Generalized Additive Model Selection
Specifying generalized additive models
Minimize GCV or UBRE score of a GAM using `outer' iteration
Finding stable orthogonal re-parameterization of the square root penalty.
Scale parameter estimation in GAMs
Post-processing output of gam.fit5
Simple posterior simulation with gam fits
Transform derivatives wrt mu to derivatives wrt linear predictor
Calculating derivatives of log-likelihood wrt regression coefficients
P-IRLS GAM estimation with GCV \& UBRE/AIC or RE/ML derivative calculation
GAM P-IRLS estimation with GCV/UBRE smoothness estimation
Get named variable or evaluate expression from list or data.frame
Generalized Extreme Value location-scale model family
Gaussian location-scale model family
GAM Integrated Nested Laplace Approximation Newton Enhanced
Generalized Additive Mixed Models
Gamma location-scale model family
Generalized additive models with integrated smoothness estimation
Interpret a GAM formula
Log Tweedie density evaluation
Checking smooth basis dimension
Are points inside boundary?
Simulate example data for GAMs
Which of a set of points lie within a polygon defined region
Report gam smoothness estimates as variance components
Fitted gam object
Objective functions for GAM smoothing parameter estimation
Some diagnostics for a fitted gam model
Just Another Gibbs Additive Modeller: JAGS support for mgcv.
Frequently Asked Questions for package mgcv
Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL
Extract the diagonal of the influence/hat matrix for a GAM
Gumbel location-scale model family
Size of list elements
AIC and Log likelihood for a fitted GAM
Getting log generalized determinant of penalty matrices
Identifiability constraints
Missing data in GAMs
Extract model matrix from GAM fit
Linear functionals of a smooth in GAMs
GAM negative binomial families
GAM ordered categorical family
Obtain a name for a new variable that is not already in use
The basis of the space of un-penalized functions for a TPRS
Stable Multiple Smoothing Parameter Estimation by GCV or UBRE
Starting values for multiple smoothing parameter estimation
Multivariate normal additive models
Functions for better-than-log positive parameterization
Auxilliary information from magic fit
GAM multinomial logistic regression
Plot geographic regions defined as polygons
Default GAM plotting
Prediction from fitted Big Additive Model model
Obtain square roots of penalty matrices
Generate inverse Gaussian random deviates
Smallest square root of matrix
Monotonicity constraints for a cubic regression spline
Parallel computation in mgcv.
Prediction from fitted GAM model
Generate from or evaluate multivariate normal or t densities.
Penalized Constrained Least Squares Fitting
The one standard error rule for smoother models
Constructor functions for smooth terms in a GAM
Generate Tweedie random deviates
QQ plots for gam model residuals
smooth.construct.ad.smooth.spec
Adaptive smooths in GAMs
smooth.construct.cr.smooth.spec
Penalized Cubic regression splines in GAMs
smooth.construct.bs.smooth.spec
Penalized B-splines in GAMs
Print a Generalized Additive Model object.
Automatically place a set of knots evenly through covariate values
Evaluate the c.d.f. of a weighted sum of chi-squared deviates
Extract the effective degrees of freedom associated with each penalty in a gam fit
GAM scaled t family for heavy tailed data
Sinh-arcsinh location scale and shape model family
smooth.construct.ds.smooth.spec
Low rank Duchon 1977 splines
Defining smooths in GAM formulae
smooth.construct.t2.smooth.spec
Tensor product smoothing constructor
Extract or modify diagonals of a matrix
smooth.construct.re.smooth.spec
Simple random effects in GAMs
smooth.construct.ps.smooth.spec
P-splines in GAMs
smooth.construct.gp.smooth.spec
Low rank Gaussian process smooths
smooth.construct.mrf.smooth.spec
Markov Random Field Smooths
Overflow proof pdMat class for multiples of the identity matrix
Alternative to log parameterization for variance components
Functions implementing a pdMat class for tensor product smooths
smooth.construct.fs.smooth.spec
Factor smooth interactions in GAMs
Random effects in GAMs
Single index models with mgcv
Generalized Additive Model residuals
smooth.construct.sos.smooth.spec
Splines on the sphere
Compute truncated eigen decomposition of a symmetric matrix
Generic function to provide extra information about smooth specification
smooth.construct.tp.smooth.spec
Penalized thin plate regression splines in GAMs
smooth.construct.so.smooth.spec
Soap film smoother constructer
Summary for a GAM fit
Prediction/Construction wrapper functions for GAM smooth terms
smooth.construct.tensor.smooth.spec
Tensor product smoothing constructor
Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit
Smooth terms in GAM
Obtaining (orthogonal) basis for null space and range of the penalty matrix
Choleski decomposition of a tri-diagonal matrix
Experimental sparse smoothers
Visualization of GAM objects
Convert a smooth to a form suitable for estimating as random effect
Generates index arrays for upper triangular storage
Alternatives to step.gam
Tweedie location scale family
Define tensor product smooths or tensor product interactions in GAM formulae
GAM zero-inflated (hurdle) Poisson regression family
find the unique rows in a matrix
Define alternative tensor product smooths in GAM formulae
Extract parameter (estimator) covariance matrix from GAM fit
Zero inflated (hurdle) Poisson location-scale model family
Row Kronecker product/ tensor product smooth construction