Cool, good luck.

MCMCglmm to my knowledge also handles missing data under a MAR 
framework, at least for univariate models.
I don't know how MCMCglmm() handles missing data in the case of a 
multivariate model; I would naively guess it treats a model as in the 
univariate case because of the way MCMCglmm() reshapes the model 
matrices but I might be wrong on that.

Pantelis

On 14/09/13 16:32, Justice Moses K. Aheto wrote:
> Hi Pantelis Z. Hadjipantelis,
> Many thanks for your suggestion and is one such possibilities.
> However, my data contain some missing values at random so I am also considering R2MLwiN.
> Have a happy weekend
> Cheers.
>   
> Kind regards.
>   
> Justice Moses K. Aheto.
> PhD Candidate in Medicine (United Kingdom)
> MSc Medical Statistics (United Kingdom)
> BSc Statistics (Ghana)
> HND Statistics (Ghana)
>
> (Chief Executive Officer)
> Statistics & Analytics Consultancy Services Ltd.
> E-mail: justiceaheto@yahoo.com
> Mobile:0044(0)7417589148 (United Kingdom)
>               00233(0)509914602 (Ghana)
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>
>
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