Maximum A Posteriori Precision Matrix

Source: R/map.R

Maximum A Posteriori Precision Matrix

map(Y)

Arguments

Y

Matrix (or data frame) of dimensions n (observations) by p (variables).

Value

An object of class map, including the precision matrix, partial correlation matrix, and regression parameters.

Examples

Y <- BGGM::bfi[, 1:5]

# map
map <- map(Y)
map
#> BGGM: Bayesian Gaussian Graphical Models 
#> --- 
#> Method: Maximum A Posteriori 
#> --- 
#>        [,1]   [,2]   [,3]   [,4]   [,5]
#> [1,]  0.000 -0.240 -0.107 -0.007 -0.009
#> [2,] -0.240  0.000  0.286  0.165  0.156
#> [3,] -0.107  0.286  0.000  0.178  0.359
#> [4,] -0.007  0.165  0.178  0.000  0.121
#> [5,] -0.009  0.156  0.359  0.121  0.000