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depscope/conda/r-densestbayes

r-densestbayes

condav1.0_2.2

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) <arXiv:2009.06182>.

License GPL-2.0-or-later3 versions1 maintainers0 deps190 weekly dl
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Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
9/15
maturity
2/15
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First published · 2022-05-15 09:52:12.051000+00:00

Last updated · 2025-12-22 00:19:00.813000+00:00

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