ggm_compare_explore
ObjectsR/select.ggm_compare_bf.R
select.ggm_compare_explore.Rd
Provides the selected graph (of differences) based on the Bayes factor (Williams et al. 2020) .
# S3 method for ggm_compare_explore select(object, BF_cut = 3, ...)
object | An object of class |
---|---|
BF_cut | Numeric. Threshold for including an edge (defaults to 3). |
... | Currently ignored. |
The returned object of class select.ggm_compare_explore
contains
a lot of information that is used for printing and plotting the results.
For users of BGGM, the following are the useful objects:
adj_10
Adjacency matrix for which there was evidence for a difference.
adj_10
Adjacency matrix for which there was evidence for a null relation
pcor_mat_10
Selected partial correlation matrix (weighted adjacency; only for two groups).
explore
and ggm_compare_explore
for several examples.
# \donttest{ ################## ### example 1: ### ################## # data Y <- bfi # males and females Ymale <- subset(Y, gender == 1, select = -c(gender, education))[,1:10] Yfemale <- subset(Y, gender == 2, select = -c(gender, education))[,1:10] # fit model fit <- ggm_compare_explore(Ymale, Yfemale, iter = 250, type = "continuous", 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 select(fit, post_prob = 0.5): object 'fit' not found# }