Package: irrNA 0.2.3

Markus Brueckl

irrNA: Coefficients of Interrater Reliability – Generalized for Randomly Incomplete Datasets

Provides coefficients of interrater reliability that are generalized to cope with randomly incomplete (i.e. unbalanced) datasets without any imputation of missing values or any (row-wise or column-wise) omissions of actually available data. Applied to complete (balanced) datasets, these generalizations yield the same results as the common procedures, namely the Intraclass Correlation according to McGraw & Wong (1996) \doi{10.1037/1082-989X.1.1.30} and the Coefficient of Concordance according to Kendall & Babington Smith (1939) \doi{10.1214/aoms/1177732186}.

Authors:Markus Brueckl [aut, cre], Florian Heuer [aut, trl]

irrNA_0.2.3.tar.gz
irrNA_0.2.3.tar.gz(r-4.5-noble)irrNA_0.2.3.tar.gz(r-4.4-noble)
irrNA_0.2.3.tgz(r-4.4-emscripten)irrNA_0.2.3.tgz(r-4.3-emscripten)
irrNA.pdf |irrNA.html✨
irrNA/json (API)
NEWS

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

Peer review:

Datasets:
  • Consist - IrrNA example data, showing perfect consistency between raters
  • ConsistNA - IrrNA example data, showing perfect consistency between raters and NAs
  • Ebel51 - Example data, given by Ebel
  • EbelFILL - Example data, based on Ebel
  • Indep - IrrNA example data, showing perfect independence among raters and objects
  • IndepNA - IrrNA example data, showing NAs and perfect independence among raters and objects
  • IndepW - IrrNA example data, showing perfect independence among raters and NAs

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

1.70 score 6 scripts 350 downloads 1 mentions 3 exports 0 dependencies

Last updated 3 years agofrom:73ae301f19. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-linuxOKNov 17 2024

Exports:icc_corriccNAkendallNA

Dependencies: