Package: anomo 0.5.2

anomo: Analysis of Moderation with the Monte Carlo Confidence Interval Method

Analysis of Moderation (anomo) uses the Monte Carlo confidence interval (MCCI) method to test the difference and equivalence of two effects with summary statistics from two studies.

Authors:Zuchao Shen [aut, cre]

anomo_0.5.2.tar.gz
anomo_0.5.2.zip(r-4.5)anomo_0.5.2.zip(r-4.4)anomo_0.5.2.zip(r-4.3)
anomo_0.5.2.tgz(r-4.5-any)anomo_0.5.2.tgz(r-4.4-any)anomo_0.5.2.tgz(r-4.3-any)
anomo_0.5.2.tar.gz(r-4.5-noble)anomo_0.5.2.tar.gz(r-4.4-noble)
anomo_0.5.2.tgz(r-4.4-emscripten)anomo_0.5.2.tgz(r-4.3-emscripten)
anomo.pdf |anomo.html
anomo/json (API)

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

2.00 score 9 scripts 213 downloads 1 exports 0 dependencies

Last updated 5 months agofrom:96199d9e3d. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-winOKFeb 11 2025
R-4.5-macOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025
R-4.4-winOKFeb 11 2025
R-4.4-macOKFeb 11 2025
R-4.3-winOKFeb 11 2025
R-4.3-macOKFeb 11 2025

Exports:mcci

Dependencies:

anomo

Rendered fromanomo.Rmdusingknitr::rmarkdownon Feb 11 2025.

Last update: 2024-09-14
Started: 2024-09-14