Skip to content
Prev 15564 / 20628 Next

Question on random effect

Dear Joaquin and Ben,

AFAIK have most random effects a term which is i.i.d. The random effects in
nlme and lme4 directly use the i.i.d. term: x_i ~ N(0, \sigma), hence the
random effect itself is i.i.d. INLA has some other constructs available.
e.g. a first order random walk where x_i - x_{i-1} ~ N(0, \sigma). Here the
difference between to consecutive random effects is i.i.d. but the random
effect itself isn't. The available options are listed at
http://www.r-inla.org/models/latent-models

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

2017-07-11 13:22 GMT+02:00 Ben Bolker <bbolker at gmail.com>: