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iRepro
View on CRAN: Click
here
Download and install iRepro package within the R console
Install from CRAN:
install.packages("iRepro")
Install from Github:
library("remotes")
install_github("cran/iRepro") Install by package version:
library("remotes")
install_version("iRepro", "1.2") Attach the package and use:
library("iRepro")
Maintained by
Jelena Kovacic
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-08
Latest Update: 2023-08-08
Description:
Calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements (Kovacic and Varnai (2014) ). 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.
How to cite:
Jelena Kovacic (2014). iRepro: Reproducibility for Interval-Censored Data. R package version 1.2, https://cran.r-project.org/web/packages/iRepro. Accessed 05 Aug. 2026.
Previous versions and publish date:
Other packages that cited iRepro R package
View iRepro citation profile
Other R packages that iRepro depends,
imports, suggests or enhances
Complete documentation for iRepro
Functions, R codes and Examples using
the iRepro R package
Some associated functions: iRepro-package . intervalICC . ntest.means . ntest.res . summary.ICCfit . summary.ntestMeans . summary.ntestRes .
Some associated R codes: iRepro-internal.R . intervalICC.R . ntest.means.R . ntest.res.R . print.ICCfit.R . print.ntestRes.R . print.summary.ICCfit.R . print.summary.ntestMeans.R . print.summary.ntestRes.R . summary.ICCfit.R . summary.ntestMeans.R . summary.ntestRes.R . Full iRepro package functions and examples
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