Summary Method for predictability
Objects
Usage
# S3 method for class 'predictability'
summary(object, cred = 0.95, ...)
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 0.443 0.046 0.358 0.537
#> B2 0.505 0.049 0.402 0.585
#> B3 0.560 0.045 0.485 0.649
#> B4 0.503 0.047 0.420 0.607
#> B5 0.464 0.050 0.366 0.557
# }