summary.ggm_compare_estimate: Summary method for 'ggm_compare_estimate' objects

In BGGM: Bayesian Gaussian Graphical Models

Summary method for ggm_compare_estimate objects

Description

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

Usage

## S3 method for class 'ggm_compare_estimate'
summary(object, col_names = TRUE, cred = 0.95, ...)

Arguments

object	An object of class ggm_compare_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 list containing the summarized posterior distributions.

See Also

ggm_compare_estimate

Examples

# note: iter = 250 for demonstrative purposes
# data
Y <- bfi

# males and females
Ymale <- subset(Y, gender == 1,
                select = -c(gender,
                            education))[,1:5]

Yfemale <- subset(Y, gender == 2,
                  select = -c(gender,
                              education))[,1:5]

# fit model
fit <- ggm_compare_estimate(Ymale,  Yfemale,
                            type = "continuous",
                            iter = 250,
                            progress = FALSE)

summary(fit)

BGGM documentation built on April 4, 2025, 2:30 a.m.