select.ggm_compare_estimate: Graph Selection for 'ggm_compare_estimate' Objects

In donaldRwilliams/BGGM: Bayesian Gaussian Graphical Models

Graph Selection for ggm_compare_estimate Objects

Description

Provides the selected graph (of differences) based on credible intervals for the partial correlations that did not contain zero \insertCiteWilliams2019BGGM.

Usage

## S3 method for class 'ggm_compare_estimate'
select(object, cred = 0.95, ...)

Arguments

object	An object of class estimate.default.
cred	Numeric. The credible interval width for selecting the graph (defaults to 0.95; must be between 0 and 1).
...	not currently used

Value

The returned object of class select.ggm_compare_estimate contains a lot of information that is used for printing and plotting the results. For users of BGGM, the following are the useful objects:

• mean_diff A list of matrices for each group comparsion (partial correlation differences).

• pcor_adj A list of weighted adjacency matrices for each group comparsion.

• adj A list of adjacency matrices for each group comparsion.

Examples

# note: iter = 250 for demonstrative purposes
##################
### example 1: ###
##################
# data
Y <- bfi

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

Yfemale <- subset(Y, gender == 2,
                  select = -c(gender,
                              education))

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


E <- select(fit)

donaldRwilliams/BGGM documentation built on April 17, 2024, 5:52 p.m.