Package: densEstBayes 1.0-2.2
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>.
Authors:
densEstBayes_1.0-2.2.tar.gz
densEstBayes_1.0-2.2.zip(r-4.7)densEstBayes_1.0-2.2.zip(r-4.6)densEstBayes_1.0-2.2.zip(r-4.5)
densEstBayes_1.0-2.2.tgz(r-4.6-x86_64)densEstBayes_1.0-2.2.tgz(r-4.6-arm64)densEstBayes_1.0-2.2.tgz(r-4.5-x86_64)densEstBayes_1.0-2.2.tgz(r-4.5-arm64)
densEstBayes_1.0-2.2.tar.gz(r-4.7-arm64)densEstBayes_1.0-2.2.tar.gz(r-4.7-x86_64)densEstBayes_1.0-2.2.tar.gz(r-4.6-arm64)densEstBayes_1.0-2.2.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
densEstBayes/json (API)
| # Install 'densEstBayes' in R: |
| install.packages('densEstBayes', repos = c('https://mattwand.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- incomeUK - Incomes of United Kingdom citizens
- OldFaithful2011 - Intervals between geyser eruptions
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:fe67eca347. Checks:12 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 286 | ||
| linux-devel-x86_64 | OK | 270 | ||
| source / vignettes | OK | 318 | ||
| linux-release-arm64 | OK | 252 | ||
| linux-release-x86_64 | OK | 280 | ||
| macos-release-arm64 | OK | 237 | ||
| macos-release-x86_64 | OK | 483 | ||
| macos-oldrel-arm64 | OK | 222 | ||
| macos-oldrel-x86_64 | OK | 750 | ||
| windows-devel | OK | 368 | ||
| windows-release | OK | 300 | ||
| windows-oldrel | OK | 327 | ||
| wasm-release | FAIL | 178 |
Exports:checkChainsdensEstBayesdensEstBayes.controldensEstBayesVignettedMarronWandrMarronWand
Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSmatrixStatsnlmenumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check Markov chain Monte Carlo samples | checkChains |
| Density estimation via Bayesian inference engines | densEstBayes |
| Controlling density estimation via Bayesian inference engines | densEstBayes.control |
| Display the package's vignette. | densEstBayesVignette |
| Marron and Wand density function | dMarronWand |
| Incomes of United Kingdom citizens | incomeUK |
| Intervals between geyser eruptions | OldFaithful2011 |
| Plot the Bayesian density estimate from a 'densEstBayes()' fit | plot.densEstBayes |
| Obtain the Bayesian density estimate from a 'densEstBayes()' fit at new abscissae | predict.densEstBayes |
| Marron and Wand random sample | rMarronWand |
