Package: iRepro 1.2

Jelena Kovacic

iRepro: Reproducibility for Interval-Censored Data

Calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements (Kovacic and Varnai (2014) <doi:10.1097/EDE.0000000000000139>). ICC is estimated by maximum likelihood from model with one fixed and one random effect (both intercepts). Help in model checking (normality of subjects' means and residuals) is provided.

Authors:Jelena Kovacic

iRepro_1.2.tar.gz
iRepro_1.2.tar.gz(r-4.5-noble)iRepro_1.2.tar.gz(r-4.4-noble)
iRepro_1.2.tgz(r-4.4-emscripten)iRepro_1.2.tgz(r-4.3-emscripten)
iRepro.pdf |iRepro.html✨
iRepro/json (API)

# Install 'iRepro' in R:
install.packages('iRepro', repos = '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 277 downloads 3 exports 0 dependencies

Last updated 2 years agofrom:e97e0787cc. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linuxOKMar 07 2025
R-4.4-linuxOKMar 07 2025

Exports:intervalICCntest.meansntest.res

Dependencies:

Citation

To cite package ‘iRepro’ in publications use:

Kovacic J (2023). iRepro: Reproducibility for Interval-Censored Data. R package version 1.2, https://CRAN.R-project.org/package=iRepro.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {iRepro: Reproducibility for Interval-Censored Data},
    author = {Jelena Kovacic},
    year = {2023},
    note = {R package version 1.2},
    url = {https://CRAN.R-project.org/package=iRepro},
  }