rqr_zinb2

RQR for ZINB2 GLMM
Computes the randomized quantile residuals for ZINB2 GLMM

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

rqr_zinb2 function

<dl><dt>x</dt>
<dd>An object of clas iccc.</dd></dl>

Arguments

RQR for ZINB2 GLMM
Computes the randomized quantile residuals for ZINB2 GLMM — rqr_zinb2

<dl>

<dt>x</dt>
<dd>An object of clas iccc.</dd>

</dl>

rqr_zinb2: RQR for ZINB2 GLMM Computes the randomized quantile residuals for ZINB2 GLMM

Description

Usage

Value

Arguments