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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 2.8 MB | win-64/r-mgcv-1.8_29-r36hda5aaf8_0.tar.bz2  5 years and 6 months ago 2248 main cf202003
conda 2.8 MB | win-64/r-mgcv-1.8_29-r35hda5aaf8_0.tar.bz2  5 years and 6 months ago 1547 main cf202003
conda 2.8 MB | osx-64/r-mgcv-1.8_29-r36h159158b_0.tar.bz2  5 years and 6 months ago 1648 main cf202003
conda 2.7 MB | osx-64/r-mgcv-1.8_29-r35h159158b_0.tar.bz2  5 years and 6 months ago 814 main cf202003
conda 2.7 MB | linux-64/r-mgcv-1.8_29-r36hcdcec82_0.tar.bz2  5 years and 6 months ago 12526 main cf202003
conda 2.7 MB | linux-64/r-mgcv-1.8_29-r35hcdcec82_0.tar.bz2  5 years and 6 months ago 15183 main cf202003

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