Package: MIDN 1.0

Peter Ziegler

MIDN: Nearly Exact Sample Size Calculation for Exact Powerful Nonrandomized Tests for Differences Between Binomial Proportions

Implementation of the mid-n algorithms presented in Wellek S (2015) <doi:10.1111/stan.12063> Statistica Neerlandica 69, 358-373 for exact sample size calculation for superiority trials with binary outcome.

Authors:Stefan Wellek, Peter Ziegler

MIDN_1.0.tar.gz
MIDN_1.0.tar.gz(r-4.7-any)MIDN_1.0.tar.gz(r-4.6-any)
MIDN_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MIDN/json (API)

# Install 'MIDN' in R:
install.packages('MIDN', repos = c('https://cran.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.

1.00 score 3 scripts 98 downloads 1 mentions 2 exports 1 dependencies

Last updated from:c6e58797e5. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK143
linux-release-x86_64OK161
wasm-releaseOK94

Exports:fisher_boschloo_midNMcNem_Score_midn

Dependencies:BiasedUrn