Summary Method for ggm_compare_explore Objects

Summarize the posterior hypothesis probabilities

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

Arguments

object	An object of class ggm_compare_explore.
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

An object of class summary.ggm_compare_explore

See also

ggm_compare_explore

Examples

# \donttest{
# note: iter = 250 for demonstrative purposes

# 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]

##########################
### example 1: ordinal ###
##########################

# fit model
fit <- ggm_compare_explore(Ymale,  Yfemale,
                           type = "ordinal",
                           iter = 250,
                           progress = FALSE)
# summary
summ <- summary(fit)

summ
#> BGGM: Bayesian Gaussian Graphical Models 
#> --- 
#> Type: ordinal 
#> Formula:  
#> Posterior Samples: 250 
#> Observations (n):
#>   Group 1: 867 
#>   Group 2: 1765 
#> Variables (p): 10 
#> Relations: 45 
#> Delta: 24 
#> --- 
#> Call: 
#> ggm_compare_explore(Ymale, Yfemale, type = "ordinal", iter = 250, 
#>     progress = FALSE)
#> --- 
#> Hypotheses:
#> H0: rho_g1 = rho_g2 
#> H1: rho_g1 - rho_g2  = 0
#> --- 
#> 
#>  Relation Post.mean Post.sd Pr.H0 Pr.H1
#>  A1--A2    0.049    0.045   0.789 0.211
#>  A1--A3   -0.016    0.051   0.859 0.141
#>  A2--A3   -0.079    0.046   0.604 0.396
#>  A1--A4    0.015    0.050   0.863 0.137
#>  A2--A4   -0.033    0.048   0.839 0.161
#>  A3--A4    0.072    0.043   0.653 0.347
#>  A1--A5    0.026    0.050   0.850 0.150
#>  A2--A5    0.096    0.046   0.438 0.562
#>  A3--A5    0.096    0.039   0.251 0.749
#>  A4--A5   -0.037    0.045   0.837 0.163
#>  A1--C1   -0.031    0.048   0.849 0.151
#>  A2--C1   -0.045    0.046   0.813 0.187
#>  A3--C1    0.057    0.047   0.764 0.236
#>  A4--C1    0.032    0.048   0.845 0.155
#>  A5--C1   -0.005    0.046   0.875 0.125
#>  A1--C2   -0.073    0.046   0.660 0.340
#>  A2--C2   -0.002    0.047   0.873 0.127
#>  A3--C2   -0.020    0.047   0.863 0.137
#>  A4--C2    0.044    0.045   0.812 0.188
#>  A5--C2    0.024    0.047   0.859 0.141
#>  C1--C2    0.035    0.040   0.832 0.168
#>  A1--C3    0.038    0.042   0.838 0.162
#>  A2--C3    0.017    0.046   0.867 0.133
#>  A3--C3   -0.047    0.044   0.808 0.192
#>  A4--C3    0.059    0.044   0.755 0.245
#>  A5--C3   -0.004    0.048   0.872 0.128
#>  C1--C3    0.037    0.049   0.830 0.170
#>  C2--C3   -0.006    0.042   0.881 0.119
#>  A1--C4    0.004    0.044   0.876 0.124
#>  A2--C4    0.038    0.047   0.831 0.169
#>  A3--C4    0.108    0.047   0.324 0.676
#>  A4--C4   -0.071    0.044   0.670 0.330
#>  A5--C4   -0.047    0.049   0.808 0.192
#>  C1--C4    0.078    0.047   0.624 0.376
#>  C2--C4    0.012    0.047   0.867 0.133
#>  C3--C4   -0.012    0.041   0.878 0.122
#>  A1--C5   -0.043    0.048   0.818 0.182
#>  A2--C5   -0.054    0.048   0.784 0.216
#>  A3--C5    0.053    0.044   0.785 0.215
#>  A4--C5    0.061    0.046   0.749 0.251
#>  A5--C5   -0.001    0.046   0.876 0.124
#>  C1--C5   -0.074    0.047   0.672 0.328
#>  C2--C5    0.057    0.048   0.771 0.229
#>  C3--C5    0.067    0.044   0.702 0.298
#>  C4--C5    0.034    0.038   0.824 0.176
#> --- 
# }