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EBCHS: An Empirical Bayes Method for Chi-Squared Data

We provide the main R functions to compute the posterior interval for the noncentrality parameter of the chi-squared distribution. The skewness estimate of the posterior distribution is also available to improve the coverage rate of posterior intervals. Details can be found in Du and Hu (2020) <doi:10.1080/01621459.2020.1777137>.

Version:0.1.0
Imports:stats,pracma, splines,fda
Suggests:testthat
Published:2021-06-01
DOI:10.32614/CRAN.package.EBCHS
Author:Lilun Du [aut, cre], Inchi Hu [aut]
Maintainer:Lilun Du <dulilun at ust.hk>
License:MIT + fileLICENSE
URL:https://github.com/dulilun/EBCHS
NeedsCompilation:no
Materials:README
CRAN checks:EBCHS results

Documentation:

Reference manual:EBCHS.html ,EBCHS.pdf

Downloads:

Package source: EBCHS_0.1.0.tar.gz
Windows binaries: r-devel:EBCHS_0.1.0.zip, r-release:EBCHS_0.1.0.zip, r-oldrel:EBCHS_0.1.0.zip
macOS binaries: r-release (arm64):EBCHS_0.1.0.tgz, r-oldrel (arm64):EBCHS_0.1.0.tgz, r-release (x86_64):EBCHS_0.1.0.tgz, r-oldrel (x86_64):EBCHS_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=EBCHSto link to this page.


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