predictability: Network Predictability (R2)

In donaldRwilliams/GGMnonreg: Non-Regularized Gaussian Graphical Models

Description

Network Predictability (R2)

Usage

predictability(x, ci = 0.95)

Arguments

x	An object of class ggm_inference
ci	Numeric. The confidence interval to be computed (defaults to 0.95).

Value

An object of class predictability, including a matrix of R2 for each node.

Note

Predictability is variance explained for each node in the network \insertCiteHaslbeck2018GGMnonreg.

References

\insertAllCited

Examples

# data
Y <- ptsd

# estimate graph
fit <- ggm_inference(Y, boot = FALSE)

# predictability
r2 <- predictability(fit)

# print
r2

donaldRwilliams/GGMnonreg documentation built on Nov. 13, 2021, 9:57 a.m.