mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

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, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.

Package details

AuthorSimon Wood <simon.wood@r-project.org>
MaintainerSimon Wood <simon.wood@r-project.org>
LicenseGPL (>= 2)
Version1.8-31
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mgcv")

Try the mgcv package in your browser

Any scripts or data that you put into this service are public.

mgcv documentation built on Nov. 11, 2019, 5:10 p.m.