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-4.4-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'))

Peer review:

On CRAN:

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

1 exports 0.09 score 0 dependencies 9 scripts

Last updated 5 days agofrom:96199d9e3d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:mcci

Dependencies:

anomo

Rendered fromanomo.Rmdusingknitr::rmarkdownon Sep 14 2024.

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