Package: lcc Type: Package Title: Advanced Analysis of Longitudinal Data Using the Concordance Correlation Coefficient Version: 4.2.2 Date: 2025-11-23 Authors@R: c( person("Thiago", "de Paula Oliveira", role = c("aut", "cre"), email = "thiago.paula.oliveira@alumni.usp.br", comment = c(ORCID = "0000-0002-4555-2584")), person("Rafael", "de Andrade Moral", role = "aut", comment = c(ORCID = "0000-0002-0875-3563")), person("Silvio", "Sandoval Zocchi", role = "ctb", comment = c(ORCID = "0000-0003-2535-908X")), person("Clarice", "Garcia Borges Demetrio", role = "ctb", comment = c(ORCID = "0000-0002-3609-178X")), person("John", "Hinde", role = "aut", comment = c(ORCID = "0000-0001-6507-5204"))) 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) . Depends: R (>= 3.2.3), nlme (>= 3.1-124), ggplot2 (>= 2.2.1) Imports: cli, rlang, hnp, parallel, doSNOW, doRNG, foreach, MASS Suggests: roxygen2 (>= 3.0.0), covr, testthat, pkgload License: GPL (>= 2) Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Repository: https://prof-thiagooliveira.r-universe.dev Date/Publication: 2025-12-31 14:16:51 UTC RemoteUrl: https://github.com/prof-thiagooliveira/lcc RemoteRef: HEAD RemoteSha: 4edc75debe6a65383b3959b1a6c76ab68dc79a3b NeedsCompilation: no Packaged: 2026-07-04 02:43:04 UTC; root Author: Thiago de Paula Oliveira [aut, cre] (ORCID: ), Rafael de Andrade Moral [aut] (ORCID: ), Silvio Sandoval Zocchi [ctb] (ORCID: ), Clarice Garcia Borges Demetrio [ctb] (ORCID: ), John Hinde [aut] (ORCID: ) Maintainer: Thiago de Paula Oliveira