mcp

Flexible and informed regression with Multiple Change Points. 'mcp' can infer change points in means, variances, autocorrelation structure, and any combination of these, as well as the parameters of the segments in between. All parameters are estimated with uncertainty and prediction intervals are supported - also near the change points. 'mcp' supports hypothesis testing via Savage-Dickey density ratio, posterior contrasts, and cross-validation. 'mcp' is described in Lindeløv (submitted) doi:10.31219/osf.io/fzqxv and generalizes the approach described in Carlin, Gelfand, & Smith (1992) doi:10.2307/2347570 and Stephens (1994) doi:10.2307/2986119.

Last 30 days

This package has been downloaded 462 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 33 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 6,351 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Dec 02, 2024 with 62 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.