Mixed GAM Computation Vehicle with Automatic Smoothness Estimation R package mgcv version 1.9-4 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) CRAN Task View: Environmetrics (https://CRAN.R-project.org/view=Environmetrics) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2025) <doi:10.1146/annurev-statistics-112723-034249> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family. Software Depends: R (>= 4.4.0), nlme (>= 3.1-64) Imports: methods, stats, graphics, Matrix, splines, utils Suggests: parallel, survival, MASS Simon Wood <simon.wood@r-project.org> Comprehensive R Archive Network (CRAN) Simon Wood [aut, cre] GPL (>= 2) 2025-11-07 application/tgz https://CRAN.R-project.org/package=mgcv doi:10.32614/CRAN.package.mgcv