summary.predictability: Summary Method for 'predictability' Objects
In donaldRwilliams/BGGM: Bayesian Gaussian Graphical Models

summary.predictability

R Documentation

Summary Method for `predictability` Objects

Description

Summary Method for predictability Objects

Usage

## S3 method for class 'predictability'
summary(object, cred = 0.95, ...)

Arguments

`object`	An object of class `predictability`.
`cred`	Numeric. The credible interval width for summarizing the posterior distributions (defaults to 0.95; must be between 0 and 1).
`...`	Currently ignored

Examples


Y <- ptsd[,1:5]

fit <- explore(Y, iter = 250,
               progress = FALSE)

r2 <- predictability(fit, iter = 250,
                     progress = FALSE)

summary(r2)

donaldRwilliams/BGGM documentation built on April 17, 2024, 5:52 p.m.