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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.
Getting started
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Package details |
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| Author | Simon Wood <simon.wood@r-project.org> |
| Maintainer | Simon Wood <simon.wood@r-project.org> |
| License | GPL (>= 2) |
| Version | 1.9-1 |
| Package repository | View on CRAN |
| Installation |
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