mixed_search {GGMnonreg} | R Documentation |
Mixed Graphical Model: automated search
Description
Data mining to learn the graph.
Usage
mixed_search(Y, data_type = NULL, IC = "BIC")
Arguments
Y |
A data matrix of dimensions n (observations) by p (nodes) |
data_type |
Vector of length p. The type of data, with options of "b" (binary), "p" (Poisson), and "g" (Gaussian). |
IC |
Character string. The desired information criterion. Options include
|
Details
Only backwards selection is currently implemented. Only an adjacency matrix is provided.
Value
An object of class mixed_search
, including wadj
(weighted adjacency matrix)
and adj
(adjacency matrix).
Examples
# data
Y <- ifelse( ptsd[,1:5] == 0, 0, 1)
# search data (ising model)
fit <- mixed_search(Y, data_type = rep("b", 5))
[Package GGMnonreg version 1.0.0 Index]