mgcv

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.

Last 30 days

This package has been downloaded 95,264 times in the last 30 days. This work is reaching a lot of screens. A significant achievement indeed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 37,363 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 768,552 times in the last 365 days. The kind of popularity that makes other researchers envious. Truly impressive! The day with the most downloads was Apr 02, 2025 with 37,363 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.