[R-sig-ME] ICC for mixed models with modeled residuals

[Thierry Onkelinx]

Dear Simon,

I'd rephrase the question to "Is ICC defined for these models?". The answer
is probably no.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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Op ma 23 jan. 2023 om 01:46 schreef Simon Harmel <sim.harmel using gmail.com>:

> Hello All,
>
> I was wondering if for models like below, there is a standard way to
> calculate the ICC given the extra modeling of residuals?
>
> Any possible `R` package capable of calculating ICC for such models?
>
> Thank you,
> Simon
>
>  lme(yij ~ X1 + X2 ...,
>          random = ~1| subject,
>          data = data,
>          subset = DV == "DV1",
>          correlation = corSymm(~1|subject),
>          weights = varComb(varIdent(form = ~ 1 | X1),
>                                           varPower(form = ~ X2)))
>
>
>   glmmTMB(yij ~ X1 + X2 + ... + (1|subject),
>                family = beta_family(), data = subset(data, DV =="DV2"),
>                dispformula = ~X1 + X2)
>
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