densEstBayes
Density Estimation via Bayesian Inference Engines
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0-2.2 |
rolling linux/jammy R-4.5 | densEstBayes_1.0-2.2.tar.gz |
2.4 MiB |
1.0-2.2 |
rolling linux/noble R-4.5 | densEstBayes_1.0-2.2.tar.gz |
2.4 MiB |
1.0-2.2 |
rolling source/ R- | densEstBayes_1.0-2.2.tar.gz |
4.7 MiB |
1.0-2.2 |
latest linux/jammy R-4.5 | densEstBayes_1.0-2.2.tar.gz |
2.4 MiB |
1.0-2.2 |
latest linux/noble R-4.5 | densEstBayes_1.0-2.2.tar.gz |
2.4 MiB |
1.0-2.2 |
latest source/ R- | densEstBayes_1.0-2.2.tar.gz |
4.7 MiB |
1.0-2.2 |
2026-04-26 source/ R- | densEstBayes_1.0-2.2.tar.gz |
4.7 MiB |
1.0-2.2 |
2026-04-23 source/ R- | densEstBayes_1.0-2.2.tar.gz |
4.7 MiB |
1.0-2.2 |
2026-04-09 windows/windows R-4.5 | densEstBayes_1.0-2.2.zip |
2.7 MiB |
1.0-2.2 |
2025-04-20 source/ R- | densEstBayes_1.0-2.2.tar.gz |
4.7 MiB |