Package: ump 0.5-8

ump: Uniformly Most Powerful Tests

Does uniformly most powerful (UMP) and uniformly most powerful unbiased (UMPU) tests. At present only distribution implemented is binomial distribution. Also does fuzzy tests and confidence intervals (following Geyer and Meeden, 2005, <doi:10.1214/088342305000000340>) for the binomial distribution (one-tailed procedures based on UMP test and two-tailed procedures based on UMPU test).

Authors:Charles J. Geyer <[email protected]> and Glen D. Meeden <[email protected]>

ump_0.5-8.tar.gz
ump_0.5-8.zip(r-4.5)ump_0.5-8.zip(r-4.4)ump_0.5-8.zip(r-4.3)
ump_0.5-8.tgz(r-4.5-x86_64)ump_0.5-8.tgz(r-4.5-arm64)ump_0.5-8.tgz(r-4.4-x86_64)ump_0.5-8.tgz(r-4.4-arm64)ump_0.5-8.tgz(r-4.3-x86_64)ump_0.5-8.tgz(r-4.3-arm64)
ump_0.5-8.tar.gz(r-4.5-noble)ump_0.5-8.tar.gz(r-4.4-noble)
ump_0.5-8.tgz(r-4.4-emscripten)ump_0.5-8.tgz(r-4.3-emscripten)
ump.pdf |ump.html✨
ump/json (API)

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

On CRAN:

Conda:

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

2.18 score 15 scripts 629 downloads 4 exports 0 dependencies

Last updated 8 years agofrom:862d6d5dcc. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-win-x86_64OKMar 06 2025
R-4.5-mac-x86_64OKMar 06 2025
R-4.5-mac-aarch64OKMar 06 2025
R-4.5-linux-x86_64OKMar 06 2025
R-4.4-win-x86_64OKMar 06 2025
R-4.4-mac-x86_64OKMar 06 2025
R-4.4-mac-aarch64OKMar 06 2025
R-4.4-linux-x86_64OKMar 06 2025
R-4.3-win-x86_64OKMar 06 2025
R-4.3-mac-x86_64OKMar 06 2025
R-4.3-mac-aarch64OKMar 06 2025

Exports:arpv.binomarpv.plotfci.binomumpu.binom

Dependencies:

UMP Package Design Document

Rendered fromdesign.Rnwusingutils::Sweaveon Mar 06 2025.

Last update: 2014-04-01
Started: 2014-04-01