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 -0.179 0.103 -0.372 0.036
#> interested--excited 0.389 0.089 0.201 0.548
#> disinterested--excited -0.158 0.107 -0.369 0.050
#> interested--upset -0.209 0.097 -0.396 -0.016
#> disinterested--upset -0.027 0.111 -0.240 0.195
#> excited--upset -0.127 0.103 -0.328 0.076
#> interested--strong 0.329 0.095 0.135 0.502
#> disinterested--strong 0.094 0.104 -0.115 0.284
#> excited--strong 0.487 0.083 0.312 0.638
#> upset--strong 0.118 0.100 -0.078 0.313
#> interested--stressed 0.279 0.093 0.085 0.454
#> disinterested--stressed 0.150 0.101 -0.042 0.348
#> excited--stressed -0.176 0.105 -0.379 0.037
#> upset--stressed 0.353 0.087 0.170 0.515
#> strong--stressed -0.019 0.104 -0.228 0.182
#> interested--steps 0.071 0.098 -0.125 0.263
#> disinterested--steps -0.083 0.107 -0.291 0.128
#> excited--steps 0.000 0.105 -0.212 0.194
#> upset--steps -0.042 0.102 -0.233 0.165
#> strong--steps 0.178 0.101 -0.026 0.369
#> stressed--steps -0.022 0.112 -0.240 0.199
#> ---
#>
# 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 0.179 -0.128 0.572
#> disinterested.l1 -0.049 0.123 -0.294 0.194
#> excited.l1 -0.082 0.196 -0.457 0.303
#> upset.l1 -0.154 0.128 -0.416 0.096
#> strong.l1 0.023 0.176 -0.328 0.370
#> stressed.l1 -0.020 0.120 -0.257 0.221
#> steps.l1 -0.153 0.112 -0.375 0.063
#> ---
#> disinterested
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 -0.018 0.178 -0.367 0.330
#> disinterested.l1 -0.004 0.121 -0.238 0.233
#> excited.l1 -0.177 0.197 -0.561 0.212
#> upset.l1 0.257 0.130 0.009 0.511
#> strong.l1 0.173 0.174 -0.178 0.514
#> stressed.l1 -0.008 0.121 -0.245 0.235
#> steps.l1 0.180 0.113 -0.040 0.403
#> ---
#> excited
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.183 0.185 -0.173 0.540
#> disinterested.l1 0.056 0.126 -0.193 0.305
#> excited.l1 0.004 0.203 -0.390 0.398
#> upset.l1 -0.095 0.132 -0.363 0.158
#> strong.l1 0.021 0.181 -0.329 0.382
#> stressed.l1 -0.034 0.123 -0.277 0.213
#> steps.l1 -0.206 0.115 -0.440 0.023
#> ---
#> upset
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 -0.104 0.171 -0.443 0.229
#> disinterested.l1 -0.018 0.116 -0.242 0.209
#> excited.l1 0.052 0.189 -0.315 0.421
#> upset.l1 0.431 0.122 0.187 0.675
#> strong.l1 0.052 0.170 -0.273 0.387
#> stressed.l1 -0.042 0.116 -0.269 0.183
#> steps.l1 0.150 0.108 -0.057 0.361
#> ---
#> strong
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.177 0.187 -0.185 0.556
#> disinterested.l1 0.051 0.126 -0.196 0.293
#> excited.l1 -0.083 0.203 -0.485 0.304
#> upset.l1 0.057 0.135 -0.216 0.314
#> strong.l1 0.180 0.182 -0.182 0.534
#> stressed.l1 -0.077 0.124 -0.318 0.169
#> steps.l1 -0.090 0.115 -0.317 0.135
#> ---
#> stressed
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.013 0.172 -0.329 0.354
#> disinterested.l1 0.090 0.117 -0.143 0.316
#> excited.l1 0.089 0.190 -0.292 0.457
#> upset.l1 0.316 0.121 0.074 0.554
#> strong.l1 -0.066 0.167 -0.389 0.258
#> stressed.l1 0.155 0.116 -0.076 0.382
#> steps.l1 0.201 0.108 -0.008 0.414
#> ---
#> steps
#>
#> Relation Post.mean Post.sd Cred.lb Cred.ub
#> interested.l1 0.113 0.187 -0.249 0.474
#> disinterested.l1 -0.026 0.126 -0.273 0.223
#> excited.l1 0.096 0.203 -0.291 0.497
#> upset.l1 -0.088 0.133 -0.346 0.178
#> strong.l1 -0.186 0.183 -0.546 0.173
#> stressed.l1 0.128 0.125 -0.115 0.370
#> steps.l1 0.041 0.117 -0.192 0.270
#> ---
# }