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densEstBayes
View on CRAN: Click
here
Download and install densEstBayes package within the R console
Install from CRAN:
install.packages("densEstBayes")
Install from Github:
library("remotes")
install_github("cran/densEstBayes")
Install by package version:
library("remotes")
install_version("densEstBayes", "1.0-2.2")
Attach the package and use:
library("densEstBayes")
Maintained by
Matt P. Wand
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.densEstBayes . densEstBayes results . densEstBayes.pdf . densEstBayes User Manual . densEstBayes_1.0-2.2.tar.gz . densEstBayes_1.0-2.2.zip . densEstBayes_1.0-2.2.zip . densEstBayes_1.0-2.2.zip . densEstBayes_1.0-2.2.tgz . densEstBayes_1.0-2.2.tgz . densEstBayes_1.0-2.2.tgz . densEstBayes_1.0-2.2.tgz . densEstBayes archive . https://CRAN.R-project.org/package=densEstBayes .
First Published: 2020-09-30
Latest Update: 2023-03-31
Description:
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) .
How to cite:
Matt P. Wand (2020). densEstBayes: Density Estimation via Bayesian Inference Engines. R package version 1.0-2.2, https://cran.r-project.org/web/packages/densEstBayes. Accessed 10 Jan. 2025.
Previous versions and publish date:
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Other R packages that densEstBayes depends,
imports, suggests or enhances
Complete documentation for densEstBayes
Functions, R codes and Examples using
the densEstBayes R package
Some associated functions: OldFaithful2011 . checkChains . dMarronWand . densEstBayes.control . densEstBayes . densEstBayesVignette . incomeUK . plot.densEstBayes . predict.densEstBayes . rMarronWand .
Some associated R codes: RcppExports.R . stanmodels.R . Full densEstBayes package functions and examples
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