Package: EBCHS 0.1.1

Lilun Du

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 (2022) <doi:10.1080/01621459.2020.1777137>.

Authors:Lilun Du [aut, cre], Inchi Hu [aut]

EBCHS_0.1.1.tar.gz
EBCHS_0.1.1.zip(r-4.7)EBCHS_0.1.1.zip(r-4.6)EBCHS_0.1.1.zip(r-4.5)
EBCHS_0.1.1.tgz(r-4.6-any)EBCHS_0.1.1.tgz(r-4.5-any)
EBCHS_0.1.1.tar.gz(r-4.7-any)EBCHS_0.1.1.tar.gz(r-4.6-any)
EBCHS_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EBCHS/json (API)

# Install 'EBCHS' in R:
install.packages('EBCHS', repos = c('https://dulilun.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dulilun/ebchs/issues

On CRAN:

Conda:

2.70 score 1 scripts 207 downloads 5 exports 43 dependencies

Last updated from:2740e6861c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK172
linux-release-x86_64OK127
macos-release-arm64OK168
macos-oldrel-arm64OK141
windows-develOK81
windows-releaseOK76
windows-oldrelOK67
wasm-releaseOK110

Exports:density_g_modeldensity_LSdensity_PLSEB_CSpredictive_recursion

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr