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lcc

Advanced Analysis of Longitudinal Data Using the Concordance Correlation Coefficient

v3.2.2 · Nov 23, 2025 · GPL (>= 2)
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Description

Methods for assessing agreement between repeated measurements obtained by two or more methods using the longitudinal concordance correlation coefficient (LCC). Polynomial mixed-effects models (via 'nlme') describe how concordance, Pearson correlation and accuracy evolve over time. Functions are provided for model fitting, diagnostic plots, extraction of summaries, and non-parametric bootstrap confidence intervals (including parallel computation), following Oliveira et al. (2018) <doi:10.1007/s13253-018-0321-1>.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies nlme ggplot2 hnp doSNOW doRNG foreach lcc

Version History

new 3.2.2 Mar 10, 2026
updated 3.2.2 ← 1.1.4 diff Nov 22, 2025
updated 1.1.4 ← 1.1.3 diff Aug 24, 2022
updated 1.1.3 ← 1.1.2 diff Sep 27, 2021
updated 1.1.2 ← 1.1.1 diff Feb 25, 2021
updated 1.1.1 ← 1.1.0 diff Sep 12, 2020
updated 1.1.0 ← 1.0.5 diff May 22, 2020
updated 1.0.5 ← 1.0.4 diff May 17, 2020
updated 1.0.4 ← 1.0.3 diff Feb 12, 2020
updated 1.0.3 ← 1.0.2 diff Nov 25, 2019
updated 1.0.2 ← 1.0.1 diff Apr 28, 2019
updated 1.0.1 ← 1.0 diff Feb 12, 2019
new 1.0 Nov 15, 2018