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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)

Extract Variance Components from a Fitted Model

Internal Function to Extract Variance Components Estimates.

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

Internal Function to Build Fitted Values for lcc Objects

Extract lcc Fitted Values

Internal Function to Prepare the lccBuilder Function

plotBuilder_lcc

Internal Function to Produces a Longitudinal Concordance Correlation Plot.

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

Internal Function to Prepare the Dataset for lcc Objects

Internal Function to Prepare lcc Objects

Internal Function to Prepare the lpcBuilder Function

plotBuilder_lpc

Internal Function to Produces a Longitudinal Perason Correlation Plot.

Internal Function to Estimate the Longitudinal Accuracy.

Internal Functions to Generate Bootstrap Samples Based on Dataset.

Extract Model Residuals

Internal Function to Prepare the laBuilder Function

Internal Function to Prepare lccModel Function

Internal functions to generate longitudinal accuracy samples.

Internal Function to Estimate the Longitudinal Pearson Correlation.

Specifying Graphical Control Values for lcc Class

Extract Variance-Covariance Matrix of the Fixed Effects

Regular Sequence for the Time Variable

Extract Log-Likelihood of an lcc Object

Plot Fitted Curves from an lcc Object.

Reports whether x is a lcc object

Internal functions to generate longitudinal concordance correlation samples.

Internal Function to Summarize Fitted and Sampled Values for lcc Objects

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

Internal function to prepare the plotBuilder_lcc function.

simulated_hue_block

Hue color simulated data in a randomized block design

Hue color simulated data

Internal Function to Prepare the plotBuilder_la Function.

Summarize an lcc Object

Diagnostic Plots of an lcc Object.

Internal function to prepare the plotBuilder_lpc function.

Print an lcc Object

Internal functions to generate longitudinal Pearson correlation samples.

Internal Function to Estimate the Longitudinal Concordance Correlation.

print.summary.lcc

Print the Summary of an lcc Object

Extract Model Random Effects

Internal Function to Produces a Longitudinal Accuracy Plot.

Internal Function to Prepare the ciCompute Function.

Internal Function to Compute the Non-Parametric Bootstrap Interval.

Compare Likelihoods of Fitted Models from an lcc Object

bootstrapSamples

Internal functions to estimate fixed effects and variance components.

Akaike and Bayesian Information Criteria for an lcc Object.

Internal Function to Compute the Sampled Concordance Correlation Values.

Extract Model Coefficients

Internal Function to Estimate the Sampled Pearson Correlation.

Internal Function to Estimate the Sampled Concordance Correlation Coefficient.