mixAK

Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models. The package is primarily related to the publications Komárek (2009, Comp. Stat. and Data Anal.) doi:10.1016/j.csda.2009.05.006 and Komárek and Komárková (2014, J. of Stat. Soft.) doi:10.18637/jss.v059.i12. It also implements methods published in Komárek and Komárková (2013, Ann. of Appl. Stat.) doi:10.1214/12-AOAS580, Hughes, Komárek, Bonnett, Czanner, García-Fiñana (2017, Stat. in Med.) doi:10.1002/sim.7397, Jaspers, Komárek, Aerts (2018, Biom. J.) doi:10.1002/bimj.201600253 and Hughes, Komárek, Czanner, García-Fiñana (2018, Stat. Meth. in Med. Res) doi:10.1177/0962280216674496.

Last 30 days

This package has been downloaded 678 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 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 10,312 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Feb 23, 2025 with 139 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.