search for: softrev

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2005 Sep 29
2
how to fix the level-1 variances in lme()?
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 s...
2004 Apr 28
0
Release candidate 1 of lme4_0.6-1
...eleases will contain a more polished version of this paper. The big change relative to earlier versions is that you can fit models with crossed random effects quickly and easily. For example, using the data on Scottish secondary school students achievement scores (from http://multilevel.ioe.ac.uk/softrev/) we can fit a model with random effects for both the secondary and the primary school attended as > library(lme4) This package is in development. For production work use lme from package nlme or glmmPQL from package MASS. > data(ScotsSec) > fm1 = lme(attain ~ verbal*sex, ScotsSec, ran...
2004 Apr 28
0
Release candidate 1 of lme4_0.6-1
...eleases will contain a more polished version of this paper. The big change relative to earlier versions is that you can fit models with crossed random effects quickly and easily. For example, using the data on Scottish secondary school students achievement scores (from http://multilevel.ioe.ac.uk/softrev/) we can fit a model with random effects for both the secondary and the primary school attended as > library(lme4) This package is in development. For production work use lme from package nlme or glmmPQL from package MASS. > data(ScotsSec) > fm1 = lme(attain ~ verbal*sex, ScotsSec, ran...
2004 Jul 04
2
doubly multivariate analysis in R
20 subjects were measured in 5 conditions (thus repeated measures) and for each subject in each condition there are 4 response measures (thus multivariate as it is a combined score that needs to be compared across the conditions). So, using a multivariate approach to repeated measures this is a doubly multivariate analysis. I would appreciate any suggestions as to the best way to do such a