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lcc (version 1.1.4)

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

214

Version

1.1.4

License

GPL (>= 2)

Maintainer

Thiago de Paula Oliveira

Last Published

August 25th, 2022

Functions in lcc (1.1.4)

Internal Function to Prepare the laBuilder Function

Internal Function to Estimate the Sampled Concordance Correlation Coefficient.

Internal Function to Produces a Longitudinal Accuracy Plot.

Extract Model Residuals

Internal Function to Estimate the Longitudinal Pearson Correlation.

Internal Function to Prepare the lpcBuilder Function

Internal functions to generate longitudinal concordance correlation samples.

Internal Function to Prepare lccModel Function

Internal functions to generate longitudinal accuracy samples.

Internal Function to Estimate the Longitudinal Concordance Correlation.

Internal Function to Prepare lccModel Function

Internal Function to Estimate the Sampled Pearson Correlation.

simulated_hue_block

Hue color simulated data in a randomized block design

Hue color simulated data

Diagnostic Plots of an lcc Object.

Plot Fitted Curves from an lcc Object.

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

Extract Variance Components from a Fitted Model

Internal function to prepare the plotBuilder_lpc function.

Extract Model Coefficients

Internal Function to Build Fitted Values for lcc Objects

Internal Functions to Generate Bootstrap Samples Based on Dataset.

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

Internal Function to Extract Variance Components Estimates.

Internal Function to Prepare lcc Objects

Extract Log-Likelihood of an lcc Object

Internal Function to Summarize Fitted and Sampled Values for lcc Objects

print.summary.lcc

Print the Summary of an lcc Object

plotBuilder_lcc

Internal Function to Produces a Longitudinal Concordance Correlation Plot.

Specifying Graphical Control Values for lcc Class

Internal functions to generate longitudinal Pearson correlation samples.

Internal Function to Prepare the plotBuilder_la Function.

Summarize an lcc Object

Extract Variance-Covariance Matrix of the Fixed Effects

Regular Sequence for the Time Variable

plotBuilder_lpc

Internal Function to Produces a Longitudinal Perason Correlation Plot.

Internal function to prepare the plotBuilder_lcc function.

Internal Function to Prepare the lccBuilder Function

Reports whether x is a lcc object

print.anova.lcc

Print the Anova of an lcc Object

Print an lcc Object

Internal Function to Prepare the Dataset for lcc Objects

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

Akaike and Bayesian Information Criteria for an lcc Object.

Extract lcc Fitted Values

Extract Model Random Effects

Internal Function to Compute the Sampled Concordance Correlation Values.

Internal Function to Compute the Non-Parametric Bootstrap Interval.

Internal Function to Prepare the ciCompute Function.

Compare Likelihoods of Fitted Models from an lcc Object

bootstrapSamples

Internal functions to estimate fixed effects and variance components.

Internal Function to Estimate the Longitudinal Accuracy.