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Node predictability as a plotting vector

Source: R/predictability.R
node_predictability.Rd

A thin companion to net_predict() that returns predictability as a plain numeric vector in node order, clamped to [0, 1] – the form cograph::splot() expects for pie_values (the predictability ring drawn around each node). Use net_predict() when you want the full tidy table.

Usage

node_predictability(x, data = NULL)

Arguments

x

A psychnet object.

data

The data the network was estimated from; required for the nodewise models (ising / ising_sampler / mgm), ignored for the GGMs.

Value

A named numeric vector, one value per node (node order), each in [0, 1].

Examples

S <- 0.4^abs(outer(1:6, 1:6, "-"))
node_predictability(ebic_glasso(cor_matrix = S, n = 250))
#>        V1        V2        V3        V4        V5        V6 
#> 0.1568160 0.2711166 0.2711166 0.2711166 0.2711166 0.1568160