Summary Method for ggm_compare_explore Objects
Source: R/ggm_compare_bf.default.R
summary.ggm_compare_explore.RdSummarize the posterior hypothesis probabilities
Usage
# S3 method for class 'ggm_compare_explore'
summary(object, col_names = TRUE, ...)Examples
# \donttest{
# note: iter = 250 for demonstrative purposes
# data
Y <- bfi[complete.cases(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: 735
#> Group 2: 1501
#> Variables (p): 10
#> Relations: 45
#> Delta: 2
#> ---
#> 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 0.009 0.054 0.957 0.043
#> A1--A3 0.014 0.053 0.960 0.040
#> A2--A3 -0.048 0.052 0.937 0.063
#> A1--A4 0.027 0.055 0.954 0.046
#> A2--A4 -0.027 0.055 0.953 0.047
#> A3--A4 0.063 0.056 0.923 0.077
#> A1--A5 -0.010 0.060 0.956 0.044
#> A2--A5 0.055 0.060 0.933 0.067
#> A3--A5 0.082 0.053 0.862 0.138
#> A4--A5 -0.009 0.062 0.952 0.048
#> A1--C1 0.038 0.052 0.950 0.050
#> A2--C1 -0.049 0.058 0.940 0.060
#> A3--C1 0.065 0.051 0.916 0.084
#> A4--C1 0.075 0.055 0.900 0.100
#> A5--C1 -0.030 0.053 0.953 0.047
#> A1--C2 -0.085 0.056 0.874 0.126
#> A2--C2 -0.014 0.055 0.958 0.042
#> A3--C2 0.004 0.054 0.960 0.040
#> A4--C2 0.041 0.052 0.947 0.053
#> A5--C2 -0.005 0.057 0.957 0.043
#> C1--C2 0.042 0.045 0.943 0.057
#> A1--C3 0.017 0.052 0.958 0.042
#> A2--C3 -0.021 0.059 0.953 0.047
#> A3--C3 -0.043 0.054 0.946 0.054
#> A4--C3 0.065 0.052 0.917 0.083
#> A5--C3 -0.022 0.054 0.956 0.044
#> C1--C3 -0.008 0.056 0.956 0.044
#> C2--C3 -0.023 0.050 0.959 0.041
#> A1--C4 0.022 0.053 0.956 0.044
#> A2--C4 0.015 0.054 0.957 0.043
#> A3--C4 0.122 0.055 0.657 0.343
#> A4--C4 -0.012 0.060 0.956 0.044
#> A5--C4 -0.077 0.057 0.898 0.102
#> C1--C4 0.059 0.055 0.927 0.073
#> C2--C4 0.004 0.059 0.954 0.046
#> C3--C4 -0.023 0.055 0.954 0.046
#> A1--C5 -0.026 0.054 0.955 0.045
#> A2--C5 -0.055 0.054 0.934 0.066
#> A3--C5 0.072 0.055 0.909 0.091
#> A4--C5 0.036 0.055 0.950 0.050
#> A5--C5 -0.002 0.057 0.957 0.043
#> C1--C5 -0.069 0.060 0.916 0.084
#> C2--C5 0.043 0.055 0.945 0.055
#> C3--C5 0.072 0.048 0.895 0.105
#> C4--C5 0.037 0.049 0.943 0.057
#> ---
# }