Summary Method for predictability Objects — summary.predictability • BGGM

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

# \donttest{
Y <- ptsd[,1:5]

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

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

summary(r2)
#> BGGM: Bayesian Gaussian Graphical Models 
#> --- 
#> Metric: Bayes R2
#> Type: continuous 
#> --- 
#> Estimates:
#> 
#>  Node Post.mean Post.sd Cred.lb Cred.ub
#>    B1     0.447   0.045   0.365   0.541
#>    B2     0.501   0.043   0.421   0.592
#>    B3     0.553   0.050   0.465   0.646
#>    B4     0.502   0.051   0.410   0.602
#>    B5     0.458   0.046   0.365   0.550

# }