[R-sig-Geo] Spatial and multilevel model with kriging/interpolation in R

[Justice Moses K. Aheto]

Dear Frede,
Many thanks for all your help (papers and suggestions/ideas) and I am very grateful for this.
Yes, you are right, joint Gaussian distribution is best for my situation.  
I have had a look at INLA as you suggested and still exploring it to find out if I can figure out something from there and I will notify the list if I am successful regarding this hoping that it might help others too in the future.
Also, I have had a looked at geostatsp/geostatinla packages but it seems they are tailored towards fitting standard spatial regression models without considering random effects at other higher levels of the data (say children nested within households in which I wish to accommodate the household specific random effects in my analysis)
 
I am still reading more literature on this and I am looking forward to more suggestions too. 
Many thanks. 
 
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 and Analytics Consultancy Services Ltd.

Skype: jascall12
Mobile: +447417589148.
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