Extract the weighted adjacency matrix (posterior mean) from estimate, explore, ggm_compare_estimate, and ggm_compare_explore objects.

weighted_adj_mat(object, ...)

Arguments

object

A model estimated with BGGM. All classes are supported, assuming there is matrix to be extracted.

...

Currently ignored.

Value

The weighted adjacency matrix (partial correlation matrix with zeros).

Examples

# \donttest{ # note: iter = 250 for demonstrative purposes Y <- bfi[,1:5] # estimate fit <- estimate(Y, iter = 250, progress = FALSE) # select graph E <- select(fit) # extract weighted adj matrix weighted_adj_mat(E)
#> [,1] [,2] [,3] [,4] [,5] #> [1,] 0.000 -0.239 -0.109 0.000 0.000 #> [2,] -0.239 0.000 0.283 0.166 0.158 #> [3,] -0.109 0.283 0.000 0.175 0.358 #> [4,] 0.000 0.166 0.175 0.000 0.123 #> [5,] 0.000 0.158 0.358 0.123 0.000
# }