Summary method for net_bayes_group
Usage
# S3 method for class 'net_bayes_group'
summary(object, ...)Examples
s <- data.frame(V1 = c("A","B","A","C"), V2 = c("B","C","B","A"),
grp = c("X","X","Y","Y"))
nets <- build_network(s, method = "relative", group = "grp")
summary(bayes_compare(nets, draws = 200, seed = 1))
#> comparison from to weight_x weight_y count_x count_y diff effect_size
#> 1 X vs Y A B 0.6000000 0.6000000 1 1 0.0000000 0.0000000
#> 2 X vs Y B C 0.6000000 0.3333333 1 0 0.2666667 0.7130862
#> 3 X vs Y C A 0.3333333 0.6000000 0 1 -0.2666667 -0.6867313
#> ci_lower ci_upper ci_width p_difference p_value sig
#> 1 -0.7377704 0.7185043 1.456275 0.505 0.99 FALSE
#> 2 -0.5104689 0.9081864 1.418655 0.785 0.43 FALSE
#> 3 -0.9225347 0.4859351 1.408470 0.740 0.52 FALSE