[R-sig-ME] Standard errors of group-wise random effect intercepts

[Thierry Onkelinx]

Dear Jacob,

If you are willing to which to lme4, then you can use ranef(lme1, condVar =
TRUE). See its helpfile for the details.

Best regards,

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey

2015-11-18 17:34 GMT+01:00 Jacob Bukoski <jbukoski1 op gmail.com>:

> Hi all,
>
> I might be searching for something that doesn't exist -- but is there a way
> to obtain group-specific standard errors for random effect intercept
> estimates?
>
> I have hierarchical data grouped by "site," for which I've generated unique
> intercept coefficients. For example:
>
> $random$Site
>           (Intercept)
> ab      -9.574204
> am     -9.149834
> ay      -2.238734
> br        5.073831
> ...
>
> Is there a way to extract some sort of confidence interval on these values?
> I have attempted using VarCorr(), but am having trouble getting it to
> return a standard error beyond that of the standard error across *all* site
> intercept estimates.
>
> If it helps, my model is specified as:
>
> lme1 <- lme(Biomass ~ Basal.area*Latitude - Latitude -1,
>             random = ~1|Site, method="REML")
>
> ​Many kind thanks,
> Jacob​
>
> --
> Jacob J. Bukoski
> Master of Environmental Science Candidate, 2016
> School of Forestry and Environmental Studies, Yale University
> jbukoski1 op gmail.com | jacob.bukoski op yale.edu | LinkedIn
> <
> https://www.linkedin.com/profile/view?id=AAIAAAdWVW8BMzqU_2EGNbEkyuy8O7K1Jyhd8ps&trk=nav_responsive_tab_profile_pic
> >
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-mixed-models op r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

	[[alternative HTML version deleted]]