Dear list,
does anyone know of an easy way to enforce equal variance for two independent random effects?
So I would like to fit this model with equal variances for R1 and R2
y ~ x + (1|R1) + (1|R2)
Thanks
Haky
-------------------------------------
Hae Kyung Im, PhD
Research Associate (Asst. Professor)
haky at uchicago.edu
Phone: 773-702-3898 FAX: 773-702-1979
Department of Health Studies - Room ? AMB R321B
University of Chicago
5841 S. Maryland Ave. MC 2007
Chicago, IL 60637
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independent random effects with equal variances
3 messages · Hae Kyung Im, Douglas Bates, Christos Hatzis
On Wed, May 4, 2011 at 10:47 AM, Hae Kyung Im <haky at uchicago.edu> wrote:
Dear list,
does anyone know of an easy way to enforce equal variance for two independent random effects?
So I would like to fit this model with equal variances for R1 and R2
y ~ x + (1|R1) + (1|R2)
I don't think that would be easily done under the current setup.
Independence, equal variance and the implicit normality assumption wouldn't imply that these random effects are IID from the same N(0, sigma) distribution? Wouldn't then this be equivalent to y ~ x + (1|R) where R is the "combined" random effect? -Christos Christos Hatzis, Ph.D. Nuvera Biosciences, Inc. 400 West Cummings Park, Suite 5350 Woburn, MA 01801 -----Original Message----- From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Douglas Bates Sent: Wednesday, May 04, 2011 1:56 PM To: Hae Kyung Im Cc: r-sig-mixed-models at r-project.org Subject: Re: [R-sig-ME] independent random effects with equal variances
On Wed, May 4, 2011 at 10:47 AM, Hae Kyung Im <haky at uchicago.edu> wrote:
Dear list,
does anyone know of an easy way to enforce equal variance for two
independent random effects?
So I would like to fit this model with equal variances for R1 and R2
y ~ x + (1|R1) + (1|R2)
I don't think that would be easily done under the current setup. _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models