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mgcv (version 1.8-25)

Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

Description

Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar. Includes a gam() function, a wide variety of smoothers, JAGS support and distributions beyond the exponential family.

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Version

Install

install.packages('mgcv')

Monthly Downloads

65,728

Version

1.8-25

License

GPL (>= 2)

Maintainer

Last Published

October 26th, 2018

Functions in mgcv (1.8-25)

GAM beta regression family

Prediction methods for smooth terms in a GAM

Reduced version of Columbus OH crime data

GAM concurvity measures

Form component of GAMM covariance matrix

gam.fit5.post.proc

Post-processing output of gam.fit5

Specifying generalized additive models

GAM Tweedie families

Approximate hypothesis tests related to GAM fits

Identifiability side conditions for a GAM

Choleski decomposition of a band diagonal matrix

bug.reports.mgcv

Reporting mgcv bugs.

Setting GAM fitting defaults

Report gam smoothness estimates as variance components

Sl.initial.repara

Re-parametrizing model matrix X

Update a strictly additive bam model for new data.

Find rank of upper triangular matrix

Generalized additive models for very large datasets

Gaussian location-scale model family

FELSPLINE test function

gam.convergence

GAM convergence and performance issues

Calculating derivatives of log-likelihood wrt regression coefficients

Generalized Additive Mixed Models

Which of a set of points lie within a polygon defined region

GCV/UBRE score for use within nlm

Get named variable or evaluate expression from list or data.frame

Checking smooth basis dimension

GAM P-IRLS estimation with GCV/UBRE smoothness estimation

Log Tweedie density evaluation

P-IRLS GAM estimation with GCV \& UBRE/AIC or RE/ML derivative calculation

Scale parameter estimation in GAMs

Generalized Additive Model Selection

Monotonicity constraints for a cubic regression spline

Smallest square root of matrix

Are points inside boundary?

Single index models with mgcv

Compute truncated eigen decomposition of a symmetric matrix

Size of list elements

AIC and Log likelihood for a fitted GAM

GAM negative binomial families

smooth.construct.so.smooth.spec

Soap film smoother constructer

Predict.matrix.cr.smooth

Predict matrix method functions

Predict.matrix.soap.film

Prediction matrix for soap film smooth

Obtain a name for a new variable that is not already in use

Interpret a GAM formula

Just Another Gibbs Additive Modeller: JAGS support for mgcv.

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE

Extract the effective degrees of freedom associated with each penalty in a gam fit

smooth.construct.sos.smooth.spec

Splines on the sphere

magic.post.proc

Auxilliary information from magic fit

extract.lme.cov

Extract the data covariance matrix from an lme object

Overflow proof pdMat class for multiples of the identity matrix

Extract smoothing parameter estimator covariance matrix from (RE)ML GAM fit

Functions implementing a pdMat class for tensor product smooths

spasm.construct

Experimental sparse smoothers

Distribution families in mgcv

Automatically place a set of knots evenly through covariate values

Default GAM plotting

Generalized Additive Model residuals

Transform derivatives wrt mu to derivatives wrt linear predictor

trind.generator

Generates index arrays for upper triangular storage

Simulate example data for GAMs

Choleski decomposition of a tri-diagonal matrix

Plot geographic regions defined as polygons

Frequently Asked Questions for package mgcv

GAM scaled t family for heavy tailed data

Extract or modify diagonals of a matrix

Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL

smooth.construct.t2.smooth.spec

Tensor product smoothing constructor

smooth.construct.tensor.smooth.spec

Tensor product smoothing constructor

GAM multinomial logistic regression

Define alternative tensor product smooths in GAM formulae

Define tensor product smooths or tensor product interactions in GAM formulae

Generate inverse Gaussian random deviates

Additive Cox Proportional Hazard Model

Multivariate normal additive models

smooth.construct.ds.smooth.spec

Low rank Duchon 1977 splines

Additive Cox proportional hazard models with time varying covariates

smooth.construct.fs.smooth.spec

Factor smooth interactions in GAMs

fix.family.link

Modify families for use in GAM fitting and checking

null.space.dimension

The basis of the space of un-penalized functions for a TPRS

Detect linear dependencies of one matrix on another

Zero inflated Poisson location-scale model family

Minimize GCV or UBRE score of a GAM using `outer' iteration

GAM ordered categorical family

Generate Tweedie random deviates

Random effects in GAMs

Finding stable orthogonal re-parameterization of the square root penalty.

Objective functions for GAM smoothing parameter estimation

Convert a smooth to a form suitable for estimating as random effect

Applying re-parameterization from log-determinant of penalty matrix to model matrix.

smooth.construct.bs.smooth.spec

Penalized B-splines in GAMs

smooth.construct.cr.smooth.spec

Penalized Cubic regression splines in GAMs

Prediction/Construction wrapper functions for GAM smooth terms

Fitted gam object

Setting up a list representing a block diagonal penalty matrix

smooth.construct.tp.smooth.spec

Penalized thin plate regression splines in GAMs

Smooth terms in GAM

Generalized Extreme Value location-scale model family

identifiability

Identifiability constraints

Parallel computation in mgcv.

Obtain square roots of penalty matrices

Visualization of GAM objects

Functions for better-than-log positive parameterization

Alternative to log parameterization for variance components

GAM zero-inflated Poisson regression family

Print a Generalized Additive Model object.

QQ plots for gam model residuals

Evaluate cyclic B spline basis

Basis dimension choice for smooths

Obtaining derivative w.r.t. linear predictor

smooth.construct

Constructor functions for smooth terms in a GAM

smooth.construct.ad.smooth.spec

Adaptive smooths in GAMs

exclude.too.far

Exclude prediction grid points too far from data

Generalized additive models with integrated smoothness estimation

smooth.construct.gp.smooth.spec

Low rank Gaussian process smooths

smooth.construct.mrf.smooth.spec

Markov Random Field Smooths

Some diagnostics for a fitted gam model

Alternatives to step.gam

Extract the diagonal of the influence/hat matrix for a GAM

Summary for a GAM fit

totalPenaltySpace

Obtaining (orthogonal) basis for null space and range of the penalty matrix

tensor.prod.model.matrix

Utility functions for constructing tensor product smooths

Starting values for multiple smoothing parameter estimation

Getting log generalized determinant of penalty matrices

Missing data in GAMs

model.matrix.gam

Extract model matrix from GAM fit

linear.functional.terms

Linear functionals of a smooth in GAMs

The one standard error rule for smoother models

Penalized Constrained Least Squares Fitting

Prediction from fitted Big Additive Model model

Prediction from fitted GAM model

Generate multivariate normal deviates

Defining smooths in GAM formulae

smooth.construct.ps.smooth.spec

P-splines in GAMs

smooth.construct.re.smooth.spec

Simple random effects in GAMs

find the unique rows in a matrix

Extract parameter (estimator) covariance matrix from GAM fit