[R] Computing "standard error of the mean" using REML

[Jose Iparraguirre]

Dear Ebrahim,
We do not deal with study or work assignments in this group. 
I'd suggest, nonetheless, to look into the lme4 package and the mer-class objects created with this package.
Regards,

José

Prof. José Iparraguirre
Chief Economist
Age UK



-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Ebrahim Jahanshiri
Sent: 25 July 2013 13:01
To: r-help at r-project.org
Subject: [R] Computing "standard error of the mean" using REML

Let say we have different samples taken from the same population (I am talking about soil samples and different schemes of sampling) and now we want to compare the accuracy of samples using standard error of mean.
I have been asked to compute standard error of the mean of samples using "residual maximum likelihood (REML)" however, I couldn't find any function in R to do it. All I could find were the function "lmerTest" that do maximum likelihood for the fixed effects modelling but not for computing the "standard error of the mean".

I would appreciate any clue.

EJ

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