Summary method for net_bayes
Usage
# S3 method for class 'net_bayes'
summary(object, ...)Examples
s1 <- data.frame(V1 = c("A","B","C"), V2 = c("B","C","A"))
s2 <- data.frame(V1 = c("A","C","B"), V2 = c("C","B","A"))
b <- bayes_compare(build_network(s1, method = "relative"),
build_network(s2, method = "relative"),
draws = 500, seed = 1)
summary(b)
#> from to weight_x weight_y count_x count_y diff effect_size ci_lower
#> 1 A B 0.6 0.2 1 0 0.4 1.139724 -0.3669372
#> 2 A C 0.2 0.6 0 1 -0.4 -1.228861 -0.9348496
#> 3 B A 0.2 0.6 0 1 -0.4 -1.177673 -0.9260328
#> 4 B C 0.6 0.2 1 0 0.4 1.148881 -0.3028972
#> 5 C A 0.6 0.2 1 0 0.4 1.240274 -0.2947713
#> 6 C B 0.2 0.6 0 1 -0.4 -1.136604 -0.9355968
#> ci_upper ci_width p_difference p_value sig
#> 1 0.9320787 1.299016 0.866 0.268 FALSE
#> 2 0.2913513 1.226201 0.886 0.228 FALSE
#> 3 0.3991889 1.325222 0.864 0.272 FALSE
#> 4 0.9419299 1.244827 0.848 0.304 FALSE
#> 5 0.9360172 1.230789 0.902 0.196 FALSE
#> 6 0.4434302 1.379027 0.864 0.272 FALSE