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Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation

Thierry Onkelinx 
Dear Michael,

The correlation structures in nlme assume correlation among the
residuals **within** the most detail level of the random effects.
Residuals of observations originating from different levels of the
random effects are assumed to be uncorrelated. So nlme can do what you
would like to do.

As Ben already mentioned, INLA is useful as it allows for spatially
correlated random effects. You can find information on the INLA
website (www.r-inla.org) and in a few books. e.g.
- Blangiardo & Cameletti (2015) Spatial and Spatio-temporal Bayesian
Model with R - INLA
- Zuur et al (in press) Beginner's Guide to Spatial, Temporal and
Spatial-Temporal Ecological Data Analysis with R-INLA: Using GLM and
GLMM

Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium

To call in the statistician after the experiment is done may be no
more than asking him to perform a post-mortem examination: he may be
able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does
not ensure that a reasonable answer can be extracted from a given body
of data. ~ John Tukey


2017-03-21 22:19 GMT+01:00 Michael Hyland <mhyland at u.northwestern.edu>:

Thread (8 messages)

Michael Hyland Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 21 Ben Bolker Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 21 Michael Hyland Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 21 Thierry Onkelinx Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 22 Dexter Locke Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 22 Ben Bolker Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 22 Michael Hyland Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 22 Ben Bolker Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation Mar 22