Take a look at lmekin() in the coxme package. The motivating data set for my development
of coxme was the Minnesota Family Breast Cancer project: 24050 subjects in 462 families.
The random effect is an intercept per subject with sigma^2 K as its variance where K is
the kinship matrix (1 for se
Bert Gunter gene.com> writes:
>
> Recommendation: Post this to the R-sig-mixed-models list, not here.
>
> Cheers,
> Bert
Seconded. Alternatively you could try the r-sig-ph...@r-project.org
mailing list, although I think I would try R-s-m-m first.
>
> On Mon, Jun 3, 2013 at 9:27 AM, Roey
Recommendation: Post this to the R-sig-mixed-models list, not here.
Cheers,
Bert
On Mon, Jun 3, 2013 at 9:27 AM, Roey Angel wrote:
> Hi,
> I'm trying to build a mixed-effects model in which I'd like to include
> either a distance matrix or a phylogenetic tree as a random effect.
> The troubles
Hi,
I'm trying to build a mixed-effects model in which I'd like to include
either a distance matrix or a phylogenetic tree as a random effect.
The troubles I've had are that:
1. Function lmer() in package lme4 only accepts a data frame column as a
random factor and not a distance matrix.
2. Fun
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