Package: ICRanks 3.1

ICRanks: Simultaneous Confidence Intervals for Ranks

Algorithms to construct simultaneous confidence intervals for the ranks of means mu_1,...,mu_n based on an independent Gaussian sample using multiple testing techniques.

Authors:Diaa Al Mohamad and Erik W. van Zwet and Jelle J. Goeman

ICRanks_3.1.tar.gz
ICRanks_3.1.zip(r-4.5)ICRanks_3.1.zip(r-4.4)ICRanks_3.1.zip(r-4.3)
ICRanks_3.1.tgz(r-4.4-x86_64)ICRanks_3.1.tgz(r-4.4-arm64)ICRanks_3.1.tgz(r-4.3-x86_64)ICRanks_3.1.tgz(r-4.3-arm64)
ICRanks_3.1.tar.gz(r-4.5-noble)ICRanks_3.1.tar.gz(r-4.4-noble)
ICRanks_3.1.tgz(r-4.4-emscripten)ICRanks_3.1.tgz(r-4.3-emscripten)
ICRanks.pdf |ICRanks.html✨
ICRanks/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

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

1.00 score 1 scripts 199 downloads 1 exports 12 dependencies

Last updated 5 years agofrom:a76653c7cd. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-win-x86_64NOTENov 12 2024
R-4.5-linux-x86_64NOTENov 12 2024
R-4.4-win-x86_64NOTENov 12 2024
R-4.4-mac-x86_64NOTENov 12 2024
R-4.4-mac-aarch64NOTENov 12 2024
R-4.3-win-x86_64NOTENov 12 2024
R-4.3-mac-x86_64NOTENov 12 2024
R-4.3-mac-aarch64NOTENov 12 2024

Exports:ic.ranks

Dependencies:codetoolsgmplatticeMASSMatrixmultcompmvtnormRcppsandwichsurvivalTH.datazoo