Summary method for estimate.default objects

Summarize the posterior distribution of each partial correlation with the posterior mean and standard deviation.

# S3 method for estimate
summary(object, col_names = TRUE, cred = 0.95, ...)

Arguments

object	An object of class estimate
col_names	Logical. Should the summary include the column names (default is TRUE)? Setting to FALSE includes the column numbers (e.g., 1--2).
cred	Numeric. The credible interval width for summarizing the posterior distributions (defaults to 0.95; must be between 0 and 1).
...	Currently ignored.

Value

A dataframe containing the summarized posterior distributions.

See also

estimate

Examples

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

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

summary(fit)
#> BGGM: Bayesian Gaussian Graphical Models 
#> --- 
#> Type: continuous 
#> Analytic: FALSE 
#> Formula:  
#> Posterior Samples: 250 
#> Observations (n):
#> Nodes (p): 5 
#> Relations: 10 
#> --- 
#> Call: 
#> estimate(Y = Y, iter = 250, progress = FALSE)
#> --- 
#> Estimates:
#>  Relation Post.mean Post.sd Cred.lb Cred.ub
#>    B1--B2     0.232   0.062   0.109   0.361
#>    B1--B3     0.053   0.066  -0.066   0.192
#>    B2--B3     0.496   0.052   0.388   0.595
#>    B1--B4     0.327   0.066   0.201   0.445
#>    B2--B4    -0.038   0.072  -0.180   0.099
#>    B3--B4     0.222   0.065   0.100   0.342
#>    B1--B5     0.159   0.068   0.006   0.280
#>    B2--B5     0.107   0.067  -0.024   0.233
#>    B3--B5     0.189   0.072   0.055   0.316
#>    B4--B5     0.328   0.064   0.190   0.435
#> --- 

# }