densEstBayes

Bayesian density estimates for univariate continuous random samples are provided using the Bayesian inference engine paradigm. The engine options are: Hamiltonian Monte Carlo, the no U-turn sampler, semiparametric mean field variational Bayes and slice sampling. The methodology is described in Wand and Yu (2020) doi:10.48550/arXiv.2009.06182.

Last 30 days

This package has been downloaded 1,111 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 31 times.

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Last 365 days

This package has been downloaded 17,098 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Apr 25, 2024 with 125 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.