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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 2249 main cf202003
conda 2.8 MB | win-64/r-mgcv-1.8_29-r35hda5aaf8_0.tar.bz2  5 years and 6 months ago 1548 main cf202003
conda 2.8 MB | osx-64/r-mgcv-1.8_29-r36h159158b_0.tar.bz2  5 years and 6 months ago 1649 main cf202003
conda 2.7 MB | osx-64/r-mgcv-1.8_29-r35h159158b_0.tar.bz2  5 years and 6 months ago 815 main cf202003
conda 2.7 MB | linux-64/r-mgcv-1.8_29-r36hcdcec82_0.tar.bz2  5 years and 6 months ago 12553 main cf202003
conda 2.7 MB | linux-64/r-mgcv-1.8_29-r35hcdcec82_0.tar.bz2  5 years and 6 months ago 15228 main cf202003

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