ICC-package
(Package: ICC) :
Facilitating Estimation of the Intraclass Correlation Coefficient
Assist in the estimation of the Intraclass Correlation Coefficient (ICC) from variance components of a one-way analysis of variance and also estimate the number of individuals or groups necessary to obtain an ICC estimate with a desired confidence interval width.
● Data Source:
CranContrib
● Keywords:
● Alias: ICC-package
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ICCest
(Package: ICC) :
Estimate the Intraclass Correlation Coefficient
Estimates the ICC and confidence intervals using the variance components from a one-way ANOVA.
● Data Source:
CranContrib
● Keywords:
● Alias: ICCest
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ICCbare
(Package: ICC) :
Simple Estimation of the Intraclass Correlation Coefficient
Estimates the Intraclass Correlation Coefficient (ICC) and is meant to be as simple and fast as possible for use in Monte Carlo simulations or bootstrapping. If the design is balanced, it will calculate variance components 'by hand', instead of using the aov() function.
● Data Source:
CranContrib
● Keywords:
● Alias: ICCbare
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ICCbareF
(Package: ICC) :
Simple Estimation of the Intraclass Correlation Coefficient
Estimates the Intraclass Correlation Coefficient (ICC) and is meant to be as simple and fast as possible for use in Monte Carlo simulations or bootstrapping. Calculates the variance components 'by hand', instead of using the aov() function.
● Data Source:
CranContrib
● Keywords:
● Alias: ICCbareF
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effort
(Package: ICC) :
Plots the optimum code{k
Given a fixed researcher effort (e.g., total number of assays able to be run), this function plots the optimum k measurements per individual to use in order to obtain the smallest confidence interval at an expected intraclass correlation coefficient (ICC) estimate. The results are depicted graphically, showing the tradeoff in confidence interval width with changing k.
● Data Source:
CranContrib
● Keywords:
● Alias: effort
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Nest
(Package: ICC) :
Calculate the N individuals/groups required to estimate the ICC with a desired confidence interval
Given a predicted ICC and k measures per individual/group, this function will calculate the N individuals/groups required to obtain a desired confidence interval w(according to Bonett, 2002).
● Data Source:
CranContrib
● Keywords:
● Alias: Nest
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providing 
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