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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.

copied from cf-staging / r-mgcv
Type Size Name Uploaded Downloads Labels
conda 3.0 MB | osx-arm64/r-mgcv-1.8_42-r42hc857ecf_0.conda  2 years and 1 month ago 1309 main
conda 3.0 MB | win-64/r-mgcv-1.8_42-r41hb9981e2_0.conda  2 years and 1 month ago 4884 main
conda 3.2 MB | osx-64/r-mgcv-1.8_42-r42h40f944a_0.conda  2 years and 1 month ago 22165 main
conda 3.2 MB | osx-64/r-mgcv-1.8_42-r41h40f944a_0.conda  2 years and 1 month ago 5759 main
conda 3.1 MB | linux-aarch64/r-mgcv-1.8_42-r42h8e45f2e_0.conda  2 years and 1 month ago 1512 main
conda 3.1 MB | linux-aarch64/r-mgcv-1.8_42-r41h8e45f2e_0.conda  2 years and 1 month ago 2414 main
conda 3.1 MB | linux-64/r-mgcv-1.8_42-r42he1ae0d6_0.conda  2 years and 1 month ago 123578 main
conda 3.1 MB | linux-64/r-mgcv-1.8_42-r41he1ae0d6_0.conda  2 years and 1 month ago 320807 main

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