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

# S3 method for explore
summary(object, col_names = TRUE, ...)

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).

...

Currently ignored

Value

A dataframe containing the summarized posterior distributions.

See also

Examples

# \donttest{ # note: iter = 250 for demonstrative purposes Y <- ptsd[,1:5] fit <- explore(Y, iter = 250, progress = FALSE)
#> Error in .Call("_BGGM_Theta_continuous", PACKAGE = "BGGM", Y = Y, iter = iter + 50, delta = delta, epsilon = eps, prior_only = 0, explore = 1, start = start, progress = progress): Incorrect number of arguments (8), expecting 10 for '_BGGM_Theta_continuous'
summ <- summary(fit)
#> Error in summary(fit): object 'fit' not found
summ
#> Error in eval(expr, envir, enclos): object 'summ' not found
# }