Dear all,
Edmond Ng (http://multilevel.ioe.ac.uk/softrev/reviewsplus.pdf) provides
an example to fit the mixed effects meta-analysis in Splus 6.2. The
syntax is:
lme(fixed=d~wks, data=meta, random=~1|study, weights=varFixed(~Vofd),
control=lmeControl(sigma=1))
where d is the effect size, study is the study number, Vofd is the
variance of the effect size and meta is the data frame.
"sigma=1" is required to constrain the level 1 variance in applying
mixed-effects models in meta-analysis.
In Splus 6.1, I found that the help manual of nlme includes "sigma" as
an optional argument in lmeControl() to fix the within-group standard
error during the optimization.
However, both Pinheiro and Bates (2000, p.476) and the help manual of
the nlme package in R for Version 3.1-65
(http://cran.r-project.org/doc/packages/nlme.pdf, p.172) do not include
"sigma" as an argument for lmeControl().
I would like to know how I could fix the level-1 variances as known
values in lme().