Package: mgcv Version: 1.9-1 Author: Simon Wood Maintainer: Simon Wood Title: 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, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family. Priority: recommended Depends: R (>= 3.6.0), nlme (>= 3.1-64) Imports: methods, stats, graphics, Matrix, splines, utils Suggests: parallel, survival, MASS LazyLoad: yes ByteCompile: yes License: GPL (>= 2) NeedsCompilation: yes Packaged: 2023-12-20 10:39:06 UTC; sw283 Repository: CRAN Date/Publication: 2023-12-21 00:30:02 UTC Built: R 4.4.0; x86_64-pc-linux-gnu; 2024-03-23 00:55:46 UTC; unix