Summarize the posterior distribution for each partial correlation with the posterior mean and standard deviation.
# S3 method for explore summary(object, col_names = TRUE, ...)
object | An object of class |
---|---|
col_names | Logical. Should the summary include the column names (default is |
... | Currently ignored |
A dataframe containing the summarized posterior distributions.
# \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'#> Error in summary(fit): object 'fit' not foundsumm#> Error in eval(expr, envir, enclos): object 'summ' not found# }