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Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) doi:10.1007/s11222-013-9448-7 for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.

Last 30 days

This package has been downloaded 7,668 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 281 times.

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Last 365 days

This package has been downloaded 90,545 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! The day with the most downloads was Jan 09, 2025 with 572 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.