Grimso

A dataset containing the counts of ticks in Grimsö area

datasets

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

Grimso function

A data frame with 520 rows and 3 variables:<dl>
<dt>Tot</dt>
<dd>Tick counts</dd><dt>TransectID</dt>
<dd>Subject identifier</dd><dt>Round</dt>
<dd>Identifier of repeated measurements</dd>
</dl>

Format

Tick counts data — Grimso

A data frame with 520 rows and 3 variables:<dl>
<dt>Tot</dt>
<dd>Tick counts</dd>

<dt>TransectID</dt>
<dd>Subject identifier</dd>

<dt>Round</dt>
<dd>Identifier of repeated measurements</dd>


</dl>

Grimso: Tick counts data

Description

Usage

Arguments

Format

References