Summarize the posterior distribution of each partial correlation and regression coefficient with the posterior mean, standard deviation, and credible intervals.
Usage
# S3 method for class 'var_estimate'
summary(object, cred = 0.95, ...)Value
A dataframe containing the summarized posterior distributions, including both the partial correlations and the regression coefficients.
pcor_resultsA data frame including the summarized partial correlationsbeta_resultsA list containing the summarized regression coefficients (one data frame for each outcome)
Examples
# \donttest{
# data
Y <- subset(ifit, id == 1)[,-1]
# fit model with alias (var_estimate also works)
fit <- var_estimate(Y, progress = FALSE)
# summary ('pcor')
print(
summary(fit, cred = 0.95),
param = "pcor",
)
#> BGGM: Bayesian Gaussian Graphical Models
#> ---
#> Vector Autoregressive Model (VAR)
#> ---
#> Partial Correlations:
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested--disinterested -0.177 0.097 -0.363 0.025
#> interested--excited 0.381 0.095 0.157 0.542
#> disinterested--excited -0.181 0.099 -0.359 0.028
#> interested--upset -0.205 0.103 -0.401 0.001
#> disinterested--upset -0.044 0.106 -0.252 0.160
#> excited--upset -0.126 0.098 -0.305 0.079
#> interested--strong 0.324 0.099 0.127 0.515
#> disinterested--strong 0.105 0.101 -0.091 0.305
#> excited--strong 0.501 0.081 0.340 0.651
#> upset--strong 0.112 0.104 -0.088 0.319
#> interested--stressed 0.259 0.100 0.052 0.443
#> disinterested--stressed 0.150 0.101 -0.054 0.341
#> excited--stressed -0.167 0.103 -0.357 0.038
#> upset--stressed 0.347 0.096 0.148 0.530
#> strong--stressed -0.008 0.107 -0.215 0.198
#> interested--steps 0.082 0.098 -0.105 0.278
#> disinterested--steps -0.089 0.105 -0.303 0.117
#> excited--steps -0.013 0.099 -0.205 0.177
#> upset--steps -0.036 0.108 -0.231 0.189
#> strong--steps 0.173 0.104 -0.041 0.370
#> stressed--steps -0.025 0.106 -0.221 0.186
#> ---
#>
# summary ('beta')
print(
summary(fit, cred = 0.95),
param = "beta",
)
#> BGGM: Bayesian Gaussian Graphical Models
#> ---
#> Vector Autoregressive Model (VAR)
#> ---
#> Coefficients:
#>
#> interested
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.224 0.177 -0.119 0.575
#> disinterested.l1 -0.049 0.122 -0.289 0.193
#> excited.l1 -0.081 0.194 -0.462 0.309
#> upset.l1 -0.152 0.128 -0.407 0.103
#> strong.l1 0.024 0.175 -0.313 0.368
#> stressed.l1 -0.020 0.120 -0.255 0.218
#> steps.l1 -0.155 0.114 -0.377 0.068
#> ---
#> disinterested
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 -0.017 0.176 -0.361 0.339
#> disinterested.l1 -0.006 0.121 -0.242 0.229
#> excited.l1 -0.181 0.195 -0.565 0.200
#> upset.l1 0.256 0.128 0.005 0.506
#> strong.l1 0.171 0.173 -0.162 0.516
#> stressed.l1 -0.010 0.118 -0.244 0.219
#> steps.l1 0.182 0.112 -0.037 0.398
#> ---
#> excited
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.183 0.180 -0.171 0.536
#> disinterested.l1 0.056 0.124 -0.190 0.299
#> excited.l1 -0.001 0.199 -0.399 0.388
#> upset.l1 -0.097 0.131 -0.356 0.162
#> strong.l1 0.025 0.183 -0.331 0.389
#> stressed.l1 -0.029 0.121 -0.269 0.211
#> steps.l1 -0.207 0.117 -0.437 0.021
#> ---
#> upset
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 -0.096 0.168 -0.419 0.241
#> disinterested.l1 -0.016 0.117 -0.240 0.212
#> excited.l1 0.054 0.185 -0.317 0.419
#> upset.l1 0.429 0.123 0.188 0.680
#> strong.l1 0.044 0.169 -0.284 0.376
#> stressed.l1 -0.045 0.115 -0.270 0.177
#> steps.l1 0.152 0.109 -0.065 0.364
#> ---
#> strong
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.178 0.183 -0.180 0.532
#> disinterested.l1 0.051 0.124 -0.188 0.299
#> excited.l1 -0.088 0.199 -0.480 0.303
#> upset.l1 0.056 0.131 -0.198 0.315
#> strong.l1 0.183 0.180 -0.165 0.536
#> stressed.l1 -0.074 0.124 -0.321 0.165
#> steps.l1 -0.092 0.117 -0.325 0.137
#> ---
#> stressed
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.015 0.170 -0.316 0.349
#> disinterested.l1 0.088 0.116 -0.145 0.312
#> excited.l1 0.089 0.188 -0.279 0.455
#> upset.l1 0.318 0.125 0.069 0.561
#> strong.l1 -0.068 0.170 -0.410 0.255
#> stressed.l1 0.151 0.115 -0.074 0.377
#> steps.l1 0.202 0.109 -0.011 0.411
#> ---
#> steps
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.111 0.182 -0.239 0.460
#> disinterested.l1 -0.021 0.124 -0.265 0.224
#> excited.l1 0.098 0.200 -0.301 0.482
#> upset.l1 -0.089 0.131 -0.341 0.167
#> strong.l1 -0.184 0.177 -0.533 0.161
#> stressed.l1 0.130 0.124 -0.117 0.375
#> steps.l1 0.040 0.114 -0.182 0.268
#> ---
# }