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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 asmeurer / r-mgcv
Type Size Name Uploaded Downloads Labels
conda 2.6 MB | win-64/r-mgcv-1.8_24-r351hf348343_0.tar.bz2  5 years and 2 months ago 432 main
conda 2.7 MB | win-64/r-mgcv-1.8_24-mro351_0.tar.bz2  5 years and 2 months ago 202 main
conda 2.6 MB | win-32/r-mgcv-1.8_24-r351h6f4ce42_0.tar.bz2  5 years and 2 months ago 36 main
conda 2.5 MB | osx-64/r-mgcv-1.8_24-r351h6402f54_0.tar.bz2  5 years and 2 months ago 1143 main
conda 2.5 MB | linux-64/r-mgcv-1.8_24-r351h96ca727_0.tar.bz2  5 years and 2 months ago 4596 main
conda 2.5 MB | linux-64/r-mgcv-1.8_24-mro351hac1494b_0.tar.bz2  5 years and 2 months ago 637 main

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