Specify covariates that vary over different levels
of multi-membership grouping factors thus requiring
special treatment. This function is almost solely useful,
when called in combination with
Outside of multi-membership terms it will behave
very much like
One or more terms containing covariates
corresponding to the grouping levels specified in
A matrix with covariates as columns.
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## Not run: # simulate some data dat <- data.frame( y = rnorm(100), x1 = rnorm(100), x2 = rnorm(100), g1 = sample(1:10, 100, TRUE), g2 = sample(1:10, 100, TRUE) ) # multi-membership model with level specific covariate values dat$xc <- (dat$x1 + dat$x2) / 2 fit <- brm(y ~ xc + (1 + mmc(x1, x2) | mm(g1, g2)), data = dat) summary(fit) ## End(Not run)
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