joinet

Implements penalised multivariate regression (i.e., for multiple outcomes and many features) by stacked generalisation (doi:10.1093/bioinformatics/btab576). For positively correlated outcomes, a single multivariate regression is typically more predictive than multiple univariate regressions. Includes functions for model fitting, extracting coefficients, outcome prediction, and performance measurement. For optional comparisons, install 'remMap' from GitHub (https://github.com/cran/remMap).

Last 30 days

This package has been downloaded 298 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 4,634 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 79 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.