Summary Method for predictability Objects

Source: R/predictability.R

Summary Method for predictability Objects

# S3 method for 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     0.446   0.044   0.361   0.534
#>    B2     0.504   0.047   0.414   0.601
#>    B3     0.556   0.048   0.475   0.662
#>    B4     0.498   0.053   0.412   0.621
#>    B5     0.465   0.049   0.368   0.556

# }