PoissonBinomial

Efficient implementations of multiple exact and approximate methods as described in Hong (2013) doi:10.1016/j.csda.2012.10.006, Biscarri, Zhao & Brunner (2018) doi:10.1016/j.csda.2018.01.007 and Zhang, Hong & Balakrishnan (2018) doi:10.1080/00949655.2018.1440294 for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalized Poisson binomial distribution.

Last 30 days

This package has been downloaded 935 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 34 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 9,997 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Sep 18, 2024 with 128 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.