fcor {brms} | R Documentation |
Set up a fixed residual correlation (FCOR) term in brms. The function does not evaluate its arguments – it exists purely to help set up a model with FCOR terms.
fcor(M)
M |
Known correlation/covariance matrix of the response variable.
If a vector is passed, it will be used as diagonal entries
(variances) and correlations/covariances will be set to zero.
The actual covariance matrix used in the likelihood is obtained
by multiplying |
An object of class 'fcor_term'
, which is a list
of arguments to be interpreted by the formula
parsing functions of brms.
## 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 + fcor(V), data = dat, data2 = list(V = V)) ## End(Not run)