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]>

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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'))

Peer review:

On CRAN:

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 520 downloads 4 exports 0 dependencies

Last updated 8 years agofrom:862d6d5dcc. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:arpv.binomarpv.plotfci.binomumpu.binom

Dependencies:

UMP Package Design Document

Rendered fromdesign.Rnwusingutils::Sweaveon Nov 06 2024.

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