r_est_con

Estimates the ICC for concordance setting for poisson, nbinom1 and nbinom2 families.

internal

Estimates the intraclass correlation coefficient (ICC) for count data to assess repeatability (intra-methods concordance) and concordance (between-method concordance). In the concordance setting, the ICC is equivalent to the concordance correlation coefficient estimated by variance components. The ICC is estimated using the estimates from generalized linear mixed models. The within-subjects distributions considered are: Poisson; Negative Binomial with additive and proportional extradispersion; Zero-Inflated Poisson; and Zero-Inflated Negative Binomial with additive and proportional extradispersion. The statistical methodology used to estimate the ICC with count data can be found in Carrasco (2010) <doi:10.1111/j.1541-0420.2009.01335.x>.

Josep Carrasco

iccCounts

Intraclass Correlation Coefficient for Count Data

r_est_con function

<dl><dt>data</dt>
<dd>A data frame containing at least three columns: outcome (named as y), subject identifier (named as id) and method identifier (named as met).</dd>
<dt>model</dt>
<dd>A glmmTMB obejct.</dd></dl>

Arguments

ICC concordance — r_est_con

<dl>

<dt>data</dt>
<dd>A data frame containing at least three columns: outcome (named as y), subject identifier (named as id) and method identifier (named as met).</dd>


<dt>model</dt>
<dd>A glmmTMB obejct.</dd>

</dl>

r_est_con: ICC concordance

Description

Usage

Value

Arguments