Define a fixed covariance matrix of the response variable
for instance to model multivariate effect sizes in meta-analysis.
Usage
cor_fixed(V)
Arguments
V
Known covariance matrix of the response variable.
If a vector is passed, it will be used as diagonal entries
(variances) and covariances will be set to zero.
# NOT RUN {dat <- data.frame(y = rnorm(3))
V <- cbind(c(0.5, 0.3, 0.2), c(0.3, 1, 0.1), c(0.2, 0.1, 0.2))
fit <- brm(y~1, data = dat, autocor = cor_fixed(V))
# }# NOT RUN {# }