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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:e97e0787cc. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux | OK | Dec 07 2024 |
Exports:intervalICCntest.meansntest.res
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Reproducibility for Interval-Censored Data | iRepro-package iRepro |
| Intraclass Correlation Coefficient for Interval-Censored Data | intervalICC print.ICCfit |
| Normality Check for Interval-Censored Data with Repeated Measurements - Means | ntest.means |
| Normality Check for Interval-Censored Data with Repeated Measurements - Residuals | ntest.res print.ntestRes |
| Summary for ICCfit Objects | print.summary.ICCfit summary.ICCfit |
| Summary for ntestMeans Objects | print.summary.ntestMeans summary.ntestMeans |
| Summary for ntestRes Objects | print.summary.ntestRes summary.ntestRes |