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lcc (version 1.1.0)

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.

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Version

Install

install.packages('lcc')

Monthly Downloads

230

Version

1.1.0

License

GPL (>= 2)

Maintainer

Thiago de Paula Oliveira

Last Published

May 22nd, 2020

Functions in lcc (1.1.0)

getVarCov.lcc

Extract Variance Components from a Fitted Model
getDelta

Internal Function to Extract Variance Components Estimates.
lccModel

Internal Function to Fits a Linear Mixed-Effects Model in the Formulation Described in Laird and Ware (1982).
fittedBuilder

Internal Function to Build Fitted Values for lcc Objects
fitted.lcc

Extract lcc Fitted Values
lccWrapper

Internal Function to Prepare the lccBuilder Function
plotBuilder_lcc

Internal Function to Produces a Longitudinal Concordance Correlation Plot.
lcc_intervals

Internal Functions to Compute the Non-Parametric Confidence Intervals for LCC.
dataBuilder

Internal Function to Prepare the Dataset for lcc Objects
lccInternal

Internal Function to Prepare lcc Objects
lpcWrapper

Internal Function to Prepare the lpcBuilder Function
plotBuilder_lpc

Internal Function to Produces a Longitudinal Perason Correlation Plot.
laBuilder

Internal Function to Estimate the Longitudinal Accuracy.
dataBootstrap

Internal Functions to Generate Bootstrap Samples Based on Dataset.
residuals.lcc

Extract Model Residuals
laWrapper

Internal Function to Prepare the laBuilder Function
hue

Hue color data
init

laBootstrap

Internal functions to generate longitudinal accuracy samples.
lpcBuilder

Internal Function to Estimate the Longitudinal Pearson Correlation.
plotControl

Specifying Graphical Control Values for lcc Class
vcov.lcc

Extract Variance-Covariance Matrix of the Fixed Effects
time_lcc

Regular Sequence for the Time Variable
logLik.lcc

Extract Log-Likelihood of an lcc Object
lccPlot

Plot Fitted Curves from an lcc Object.
is.lcc

Reports whether x is a lcc object
lccBootstrap

Internal functions to generate longitudinal concordance correlation samples.
lccSummary

Internal Function to Summarize Fitted and Sampled Values for lcc Objects
lcc

Longitudinal Concordance Correlation (LCC) Estimated by Fixed Effects and Variance Components using a Polynomial Mixed-Effects Regression Model
print.anova.lcc

Print the Anova of an lcc Object
plot_lcc

Internal function to prepare the plotBuilder_lcc function.
simulated_hue_block

Hue color simulated data in a randomized block design
simulated_hue

Hue color simulated data
plot_la

Internal Function to Prepare the plotBuilder_la Function.
summary.lcc

Summarize an lcc Object
plot.lcc

Diagnostic Plots of an lcc Object.
plot_lpc

print.lcc

Print an lcc Object
lpcBootstrap

Internal functions to generate longitudinal Pearson correlation samples.
lccBuilder

Internal Function to Estimate the Longitudinal Concordance Correlation.
print.summary.lcc

Print the Summary of an lcc Object
ranef.lcc

Extract Model Random Effects
plotBuilder_la

Internal Function to Produces a Longitudinal Accuracy Plot.
ciBuilder

Internal Function to Prepare the ciCompute Function.
ciCompute

Internal Function to Compute the Non-Parametric Bootstrap Interval.
anova.lcc

Compare Likelihoods of Fitted Models from an lcc Object
bootstrapSamples

Internal functions to estimate fixed effects and variance components.
AIC.lcc

Akaike and Bayesian Information Criteria for an lcc Object.
CCC

Internal Function to Compute the Sampled Concordance Correlation Values.
coef.lcc

Extract Model Coefficients
Pearson

Internal Function to Estimate the Sampled Pearson Correlation.
CCC_lin

Internal Function to Estimate the Sampled Concordance Correlation Coefficient.