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mgcv (1.9-3)

Published 2026-02-24 13:47:20 +00:00 by atheaadmin

Installation

Setup this registry in your Rprofile.site file:

options("repos" = c(getOption("repos"), c(gitea="")))

To install the package, run the following command:

install.packages("mgcv")

For more information on the CRAN registry, see the documentation.

About this package

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.Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

Dependencies

Imports	methods, stats, graphics, Matrix, splines, utils
Depends	R (>= 3.6.0), nlme (>= 3.1-64)
Suggests	parallel, survival, MASS

Details

CRAN

2026-02-24 13:47:20 +00:00

1

GPL (>= 2)

Simon Wood

1.1 MiB

Assets (1)

mgcv_1.9-3.tar.gz 1.1 MiB

Versions (1) View all

1.9-3 2026-02-24