Summary Method for select.explore Objects
Usage
# S3 method for class 'select.explore'
summary(object, col_names = TRUE, ...)Value
a data frame including the posterior mean, standard deviation, and posterior hypothesis probabilities for each relation.
Examples
# \donttest{
# data
Y <- bfi[,1:10]
# fit model
fit <- explore(Y, iter = 250,
progress = FALSE)
# edge set
E <- select(fit,
alternative = "exhaustive")
summary(E)
#> BGGM: Bayesian Gaussian Graphical Models
#> ---
#> Type: continuous
#> Alternative: exhaustive
#> ---
#> Call:
#> select.explore(object = fit, alternative = "exhaustive")
#> ---
#> Hypotheses:
#> H0: rho = 0
#> H1: rho > 0
#> H2: rho < 0
#> ---
#>
#> Relation Post.mean Post.sd.fisher Pr.H0 Pr.H1 Pr.H2
#> A1--A2 -0.245 0.018 0.000 0.000 1.000
#> A1--A3 -0.104 0.017 0.000 0.000 1.000
#> A2--A3 0.285 0.019 0.000 1.000 0.000
#> A1--A4 -0.015 0.019 0.997 0.001 0.002
#> A2--A4 0.160 0.021 0.000 1.000 0.000
#> A3--A4 0.160 0.019 0.000 1.000 0.000
#> A1--A5 -0.016 0.017 0.996 0.001 0.003
#> A2--A5 0.145 0.020 0.000 1.000 0.000
#> A3--A5 0.354 0.019 0.000 1.000 0.000
#> A4--A5 0.115 0.018 0.000 1.000 0.000
#> A1--C1 0.054 0.020 0.221 0.776 0.002
#> A2--C1 0.004 0.020 0.998 0.001 0.001
#> A3--C1 0.008 0.019 0.998 0.001 0.001
#> A4--C1 -0.046 0.019 0.651 0.003 0.346
#> A5--C1 0.064 0.018 0.002 0.998 0.000
#> A1--C2 0.070 0.019 0.001 0.999 0.000
#> A2--C2 0.007 0.019 0.998 0.001 0.001
#> A3--C2 0.031 0.020 0.979 0.020 0.001
#> A4--C2 0.151 0.021 0.000 1.000 0.000
#> A5--C2 -0.031 0.020 0.980 0.001 0.019
#> C1--C2 0.301 0.020 0.000 1.000 0.000
#> A1--C3 0.043 0.019 0.793 0.204 0.003
#> A2--C3 0.126 0.019 0.000 1.000 0.000
#> A3--C3 -0.013 0.019 0.997 0.001 0.002
#> A4--C3 -0.034 0.018 0.956 0.001 0.043
#> A5--C3 0.022 0.020 0.994 0.006 0.001
#> C1--C3 0.124 0.019 0.000 1.000 0.000
#> C2--C3 0.184 0.019 0.000 1.000 0.000
#> A1--C4 0.124 0.020 0.000 1.000 0.000
#> A2--C4 -0.016 0.020 0.996 0.001 0.003
#> A3--C4 0.012 0.019 0.997 0.002 0.001
#> A4--C4 0.016 0.020 0.997 0.003 0.001
#> A5--C4 0.004 0.020 0.998 0.001 0.001
#> C1--C4 -0.159 0.020 0.000 0.000 1.000
#> C2--C4 -0.186 0.019 0.000 0.000 1.000
#> C3--C4 -0.124 0.019 0.000 0.000 1.000
#> A1--C5 -0.028 0.019 0.985 0.001 0.014
#> A2--C5 0.043 0.020 0.858 0.139 0.003
#> A3--C5 -0.026 0.020 0.990 0.001 0.009
#> A4--C5 -0.150 0.020 0.000 0.000 1.000
#> A5--C5 -0.054 0.021 0.319 0.003 0.678
#> C1--C5 -0.038 0.020 0.938 0.002 0.060
#> C2--C5 -0.044 0.020 0.811 0.003 0.187
#> C3--C5 -0.176 0.020 0.000 0.000 1.000
#> C4--C5 0.358 0.020 0.000 1.000 0.000
# }