[R-sig-ME] R-sig-mixed-models Digest, Vol 150, Issue 1

[Gregoire, Timothy]

Does SPSS also default to REML, as does gls?

Timothy G. Gregoire
J. P. Weyerhaeuser Professor of Forest Management
School of Forestry & Environmental Studies
Yale University
360 Prospect St, New Haven, CT, U.S.A. 06511
Ph: 1.203.432.9398 mob: 1.203.508.4014  fax:1.203.432.3809

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Today's Topics:

   1. What is the equivalent of Compound Symmetry : Heterogeneous
      test in R? (Pardis Miri)

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Message: 1
Date: Wed, 29 May 2019 16:55:57 -0700
From: Pardis Miri <pardis.stanford using gmail.com>
To: "r-sig-mixed-models using r-project.org"
	<r-sig-mixed-models using r-project.org>
Subject: [R-sig-ME] What is the equivalent of Compound Symmetry :
	Heterogeneous test in R?
Message-ID:
	<CA+WU=HBjjZhG7MXkeQ=Ob3SyozE+dpuczY74yRmnCM1d=G0Ysw using mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hi everyone,

I am trying to figure out how to replicate the results I've gotten from SPSS when using the Repeated Covariance Type : Compound Symmetry:
Heterogeneous.  Can anyone help me figure this out?
So far I know the following does't produce the same results.

comsym <- gls(SC_slope~Bodysite+Pattern+Strength,data = df.na.removed.,
                   correlation=corCompSymm(form = ~ 1 |id), method="REML", na.action = na.omit)

summary(comsym)

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End of R-sig-mixed-models Digest, Vol 150, Issue 1