make_Q_alpha_tau2: Title
In BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations

Description Usage Arguments Value Examples

Title

1	make_Q_alpha_tau2(Q_alpha, tau2, use_spam = TRUE)

`Q_alpha`	a list of length M composed of matrices that are the correlation structure of the CAR prior on beta.
`tau2`	a vector of length M that contains the CAR prior precision matrices.
`use_spam`	a boolean that determines if the output matrix is of class "spam" (`use_spam = TRUE`) or of class "dgCMatrix" (`use_spam = FALSE`; see Matrix package for details).

A sparse block diagonal matrix representing the precision matrices for all of the resolutions of the random effects.

n_dims <- c(4, 8)
phi <- c(0.8, 0.9)
tau2 <- c(3, 4)
Q_alpha <- make_Q_alpha_2d(n_dims, phi)
Q_alpha_tau2 <- make_Q_alpha_tau2(Q_alpha, tau2)
## plot the full precision matrix structure
spam::display(Q_alpha_tau2)