glmmrBase

Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See https://samuel-watson.github.io/glmmr-web/ for a detailed manual.

Last 30 days

This package has been downloaded 502 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 69 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 6,256 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Oct 24, 2024 with 99 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.