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 157,045 times in the last 30 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11,767 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 829,551 times in the last 365 days. This is starting to look legendary. Enough downloads to inspire a dedicated panel discussion! The day with the most downloads was Apr 03, 2025 with 54,773 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.