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lcc

Advanced Analysis of Longitudinal Data Using the Concordance Correlation Coefficient

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>.

Versions across snapshots

VersionRepositoryFileSize
3.2.2 rolling linux/jammy R-4.5 lcc_3.2.2.tar.gz 486.1 KiB
3.2.2 rolling linux/noble R-4.5 lcc_3.2.2.tar.gz 486.4 KiB
3.2.2 rolling source/ R- lcc_3.2.2.tar.gz 297.1 KiB
3.2.2 latest linux/jammy R-4.5 lcc_3.2.2.tar.gz 486.1 KiB
3.2.2 latest linux/noble R-4.5 lcc_3.2.2.tar.gz 486.4 KiB
3.2.2 latest source/ R- lcc_3.2.2.tar.gz 297.1 KiB
3.2.2 2026-04-26 source/ R- lcc_3.2.2.tar.gz 297.1 KiB
3.2.2 2026-04-23 source/ R- lcc_3.2.2.tar.gz 297.1 KiB
3.2.2 2026-04-09 windows/windows R-4.5 lcc_3.2.2.zip 488.6 KiB
1.1.4 2025-04-20 source/ R- lcc_1.1.4.tar.gz 286.9 KiB

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