Package: BlythStillCasellaCI 1.1.0

BlythStillCasellaCI: Blyth-Still-Casella Exact Binomial Confidence Intervals

Computes Blyth-Still-Casella exact binomial confidence intervals based on a refining procedure proposed by George Casella (1986) <doi:10.2307/3314658>.

Authors:Ron Yu [aut, cre], Peiwen Wu [aut]

BlythStillCasellaCI_1.1.0.tar.gz
BlythStillCasellaCI_1.1.0.zip(r-4.7)BlythStillCasellaCI_1.1.0.zip(r-4.6)BlythStillCasellaCI_1.1.0.zip(r-4.5)
BlythStillCasellaCI_1.1.0.tgz(r-4.6-any)BlythStillCasellaCI_1.1.0.tgz(r-4.5-any)
BlythStillCasellaCI_1.1.0.tar.gz(r-4.7-any)BlythStillCasellaCI_1.1.0.tar.gz(r-4.6-any)
BlythStillCasellaCI_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BlythStillCasellaCI/json (API)

# Install 'BlythStillCasellaCI' in R:

install.packages('BlythStillCasellaCI', repos = c('https://ronyu-gilead.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 252 downloads 1 exports 0 dependencies

Last updated from:cd65cdc7df. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	99
source / vignettes	OK	125
linux-release-x86_64	OK	100
macos-release-arm64	OK	93
macos-oldrel-arm64	OK	59
windows-devel	OK	64
windows-release	OK	59
windows-oldrel	OK	77
wasm-release	OK	74