Learn R Programming

⚠️There's a newer version (1.1.4) of this package.Take me there.

lcc (version 1.0)

Longitudinal Concordance Correlation

Description

Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) . In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.

Copy Link

Version

Install

install.packages('lcc')

Monthly Downloads

230

Version

1.0

License

GPL (>= 2)

Maintainer

Thiago de Paula Oliveira

Last Published

November 16th, 2018

Functions in lcc (1.0)

hue

Hue color data
ciBuilder

Internal function to prepare the ciCompute function.
init

plotBuilder_lpc

Internal function to produces a longitudinal Perason correlation plot.
lccSummary

Internal function to summarize fitted and sampled values for lcc objects
laBootstrap

Internal functions to generate longitudinal accuracy samples.
ciCompute

Internal function to compute the non-parametric bootstrap interval.
laWrapper

Internal function to to prepare the laBuilder function
lpcBootstrap

Internal functions to generate longitudinal Pearson correlation samples.
lcc_intervals

Internal functions to compute the non-parametric confidence intervals for LCC.
lccWrapper

Internal function to to prepare the lccBuilder function
time_lcc

Regular sequence for the time variable
lccBootstrap

Internal functions to generate longitudinal concordance correlation samples.
lpcBuilder

Internal function to estimate the longitudinal Pearson correlation.
lcc

Longitudinal Concordance Correlation (LCC) estimated by fixed effects and variance components of polynomial mixed-effects regression model
CCC

Internal function to compute the sampled concordance correlation values.
plotControl

Specifying graphical control values for lcc class
Pearson

Internal function to estimate the sampled Pearson correlation.
bootstrapSamples

Internal functions to estimate fixed effects and variance components.
lccModel

Internal function to fits a linear mixed-effects model in the formulation described in Laird and Ware (1982).
plot_la

Internal function to prepare the plotBuilder_la function.
plot_lcc

Internal function to prepare the plotBuilder_lcc function.
lpcWrapper

Internal function to to prepare the lpcBuilder function
summary.lcc

Summarize an lcc object
lccPlot

Plot an lcc object
plotBuilder_la

Internal function to produces a longitudinal accuracy plot.
simulated_hue_block

Hue color simulated data in a randomized block design
CCC_lin

Internal function to estimate the sampled concordance correlation coefficient.
plotBuilder_lcc

Internal function to produces a longitudinal concordance correlation plot.
lccBuilder

Internal function to estimate the longitudinal concordance correlation.
lccInternal

Internal function to prepare lcc objects
plot_lpc

simulated_hue

Hue color simulated data
dataBootstrap

Internal functions to generate bootstrap samples based on dataset.
dataBuilder

Internal function to prepare the dataset for lcc objects
getDelta

Internal function to extract variance components estimate.
laBuilder

Internal function to estimate the longitudinal accuracy.