Package: lcc 4.2.2

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>.

Authors:Thiago de Paula Oliveira [aut, cre], Rafael de Andrade Moral [aut], Silvio Sandoval Zocchi [ctb], Clarice Garcia Borges Demetrio [ctb], John Hinde [aut]

lcc_4.2.2.tar.gz
lcc_4.2.2.zip(r-4.7-any)lcc_4.2.2.zip(r-4.6-any)lcc_4.2.2.zip(r-4.5-any)
lcc_4.2.2.tgz(r-4.6-any)lcc_4.2.2.tgz(r-4.5-any)
lcc_4.2.2.tar.gz(r-4.7-any)lcc_4.2.2.tar.gz(r-4.6-any)
lcc_4.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lcc/json (API)

# Install 'lcc' in R:

install.packages('lcc', repos = c('https://prof-thiagooliveira.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/prof-thiagooliveira/lcc/issues

Datasets:

hue - Hue color data
simulated_hue - Hue color simulated data
simulated_hue_block - Hue color simulated data in a randomized block design

On CRAN:

agreement concordance concordance-analysis longitudinal

3.00 score 9 scripts 406 downloads 1 mentions 6 exports 29 dependencies

Last updated from:4edc75debe. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	193
source / vignettes	OK	201
linux-release	OK	140
macos-release	OK	184
macos-oldrel	OK	200
windows-devel	OK	83
windows-release	OK	91
windows-oldrel	OK	88
wasm-release	OK	87

Exports:formatColumn is.lcc lcc lccPlot plotControl time_lcc

Dependencies:cli codetools cpp11 digest doRNG doSNOW farver foreach ggplot2 glue gtable hnp isoband iterators labeling lattice lifecycle MASS nlme R6 RColorBrewer rlang rngtools S7 scales snow vctrs viridisLite withr

Help page	Topics
Internal base theme used by all ggplot-based summaries	.lcc_default_theme
Akaike and Bayesian Information Criteria for an 'lcc' Object	AIC.lcc BIC.lcc
Compare Likelihoods of Fitted Models from an 'lcc' Object	anova.lcc
Extract Model Coefficients	coef.lcc
Extract Fitted Values from an 'lcc' Object	fitted.lcc
Format Columns for Print	formatColumn
Extract Variance Components from a Fitted lcc Model	getVarCov.lcc
Hue color data	hue
Longitudinal concordance correlation (LCC) from polynomial mixed effects regression models using fixed effects and variance components	lcc
Plot Fitted Curves from an 'lcc' Object	lccPlot
Extract Log-Likelihood of an 'lcc' Object	logLik.lcc
Diagnostic Plots for an 'lcc' Object	plot.lcc
Control Settings for 'lcc' Plots	plotControl
Print the Anova of an 'lcc' Object	print.anova.lcc
Print Method for 'lcc' Objects	print.lcc
Print Summary of an 'lcc' Object	print.summary.lcc
Extract Random Effects from an 'lcc' Model	ranef.lcc
Extract Residuals from a Fitted lcc Model	residuals.lcc
Hue color simulated data	simulated_hue
Hue color simulated data in a randomized block design	simulated_hue_block
Summarize an 'lcc' Object	summary.lcc
Extract Variance-Covariance Matrix of the Fixed Effects for an lcc Object	vcov.lcc

Package: lcc 4.2.2

lcc: Advanced Analysis of Longitudinal Data Using the Concordance Correlation Coefficient

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Help Manual

Usage by other packages (reverse dependencies)