Dropping correlations bet. random-effects in lme4 syntax
Thanks Phillip. What would be the meaning of placing `0 +` next to any of the random effects (e.g., B) as shown in m2? m1 <- lmer(y ~ A * B * C + (A * C | group) + (B|group) , data = data) m2 <- lmer(y ~ A * B * C + (A * 0+ B * C | group), data = data)
On Sat, Oct 3, 2020 at 11:33 AM Phillip Alday <phillip.alday at mpi.nl> wrote:
You can split the specification of your grouping to achieve this, at least in part: lmer(y ~ A * B * C + (A * C | group) + (B|group) , data = data) Note that life gets tricky with the interaction terms. Phillip On 03/10/2020 06:35, Simon Harmel wrote:
Hello all, I know to drop all correlations among all level-1 predictors in the
random
part of an lmer() call, I can use `||`. But I was wondering how to drop
correlations (a) "individually" or (b) "in pairs"?
Example of (a) is how to drop the correlation of B with others (A & C)?
Example of (b) is how to drop the correlation between B and C?
lmer(y ~ A * B * C + (A * B * C || group), data = data)
Thanks,
Simon
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