Package: irrICC 1.0

Kilem L. Gwet

irrICC: Intraclass Correlations for Quantifying Inter-Rater Reliability

Calculates various intraclass correlation coefficients used to quantify inter-rater and intra-rater reliability. The assumption here is that the raters produced quantitative ratings. Most of the statistical procedures implemented in this package are described in details in Gwet, K.L. (2014, ISBN:978-0970806284): "Handbook of Inter-Rater Reliability," 4th edition, Advanced Analytics, LLC.

Authors:Kilem L. Gwet, Ph.D.

irrICC_1.0.tar.gz
irrICC_1.0.tar.gz(r-4.7-any)irrICC_1.0.tar.gz(r-4.6-any)
irrICC_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
irrICC/json (API)

# Install 'irrICC' in R:
install.packages('irrICC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • iccdata1 - Scores assigned by 4 judges to 5 targets/subjects.
  • iccdata2 - Scores assigned by 4 judges to 5 targets/subjects distributed in 2 groups A and B.
  • iccdata3 - Scores assigned by 3 raters to 4 subjects.

On CRAN:

Conda:

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

3.94 score 88 scripts 251 downloads 1 mentions 27 exports 0 dependencies

Last updated from:2da1f07f4c. Checks:2 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING125
source / vignettesOK149
linux-release-x86_64WARNING119
wasm-releaseOK135

Exports:ci.ICC1aci.ICC1bci.ICC2a.interci.ICC2a.nointerci.ICC2r.interci.ICC2r.nointerci.ICC3a.interci.ICC3r.interci.ICC3r.nointericc1a.fnicc1b.fnicc2.inter.fnicc2.nointer.fnicc3.inter.fnicc3.nointer.fnpval.ICC1apval.ICC1bpval.ICC2r.interpvals.ICC1apvals.ICC1bpvals.ICC2a.interpvals.ICC2a.nointerpvals.ICC2r.interpvals.ICC2r.nointerpvals.ICC3a.interpvals.ICC3r.interpvals.ICC3r.nointer

Dependencies:

Calculating Confidence Intervals and P-values for Various ICCs
Abstract | ICC under Model 1A | ICC under Model 1B | ICC under Model 2 | Model 2 With Interaction | Model 2 Without Interaction | ICC under Model 3 | References:
Rendered fromPrecisionMeasures.Rmdusingknitr::rmarkdown

Last update: 2019-09-23
Started: 2019-09-23

Intraclass Correlation Coefficients (ICC) with the irrICC Package
Abstract | Computing various ICC values | References:
Rendered fromUserGuide.Rmdusingknitr::rmarkdown

Last update: 2019-09-23
Started: 2019-09-23

Readme and manuals

Help Manual

Help pageTopics
Confidence Interval of Intraclass Correlation Coefficient (ICC) under ANOVA Model 1A.ci.ICC1a
Confidence Interval of Intraclass Correlation Coefficient (ICC) under ANOVA Model 1B.ci.ICC1b
Confidence Interval of ICCa(2,1), a measure of intra-rater reliability under Model 2 with interaction.ci.ICC2a.inter
Confidence Interval of ICCa(2,1) under Model 2 without subject-rater interaction.ci.ICC2a.nointer
Confidence Interval of ICC(2,1) under ANOVA Model 2 with Interaction.ci.ICC2r.inter
Confidence Interval of the ICC(2,1) under Model 2 without subject-rater interactionci.ICC2r.nointer
Confidence Interval of ICCa(3,1), a measure of intra-rater reliability under MOdel 3.ci.ICC3a.inter
Confidence Interval of ICC(3,1) under ANOVA Model 3 with Interaction.ci.ICC3r.inter
Confidence Interval of the ICC(3,1) under Model 3 without subject-rater interactionci.ICC3r.nointer
Intraclass Correlation Coefficient (ICC) under ANOVA Model 1A.icc1a.fn
Intraclass Correlation Coefficient (ICC) under ANOVA Model 1B.icc1b.fn
Intraclass Correlation Coefficients ICC(2,1) & ICCa(2,1) under the Random Factorial ANOVA Model with Interaction.icc2.inter.fn
Intraclass Correlation Coefficients ICC(2,1) and ICCa(2,1) under ANOVA Model 2 without interaction.icc2.nointer.fn
Intraclass Correlation Coefficients (ICC) under the Mixed Factorial ANOVA model with Interaction.icc3.inter.fn
Intraclass Correlation Coefficients ICC(3,1) and ICCa(3,1) under ANOVA Model 3 without interaction.icc3.nointer.fn
Scores assigned by 4 judges to 5 targets/subjects.iccdata1
Scores assigned by 4 judges to 5 targets/subjects distributed in 2 groups A and B.iccdata2
Scores assigned by 3 raters to 4 subjects.iccdata3
Mean of Squares for Errors (MSE) under ANOVA Model 1A.mse1a.fn
Mean of Squares for Errors (MSE) under ANOVA Model 1B.mse1b.fn
Mean of Squares for Errors (MSE) under ANOVA Models 2 & 3 with interaction.mse2.inter.fn
Mean of Squares for Errors (MSE) under Models 2 & 3 without replicationmse2.nointer.fn
Mean of Squares for Interaction (MSI) under ANOVA Models 2 & 3 with interaction.msi2.fn
Mean of Squares for Raters (MSR) under ANOVA Model 1B.msr1b.fn
Mean of Squares for Raters (MSR) under ANOVA Model 2 with or without interaction.msr2.fn
Mean of Squares for Subjects (MSS) under ANOVA Model 1A.mss1a.fn
Mean of Squares for Subjects (MSS) under ANOVA Models 2 and 3, with or without interaction.mss2.fn
P-value of the ICC under ANOVA Model 1A for the specific null values 0,0.1,0.3,0.5,0.7,0.9.pval.ICC1a
P-value of the ICC under ANOVA Model 1B for the specific null values 0,0.1,0.3,0.5,0.7,0.9.pval.ICC1b
P-values of ICC(2,1) under Model 2 with subject-rater interaction, for 6 specific null values.pval.ICC2r.inter
P-value of the ICC under ANOVA Model 1A for arbitrary null values.pvals.ICC1a
P-value of the ICC under ANOVA Model 1B for arbitrary null values.pvals.ICC1b
P-values of ICCa(2,1) under Model 2 with interaction.pvals.ICC2a.inter
P-values of ICCa(2,1) under Model 2 without subject-rater interaction.pvals.ICC2a.nointer
P-values of ICC(2,1) under Model 2 with subject-rater interaction, for user-provided null values.pvals.ICC2r.inter
P-values of ICC(2,1) under Model 2 without subject-rater interaction.pvals.ICC2r.nointer
P-values of ICCa(3,1) under Model 3 with subject-rater interaction.pvals.ICC3a.inter
P-value of the Intraclass Correlation Coefficient ICC(3,1) under Model 3 with subject-rater interaction.pvals.ICC3r.inter
P-values of ICC(3,1) under Model 3 without subject-rater interaction.pvals.ICC3r.nointer