Create a table of bootstrapped means and confidence intervals for all edges of a bootstrapped Joint Graphical Lasso model obtained through GroupNetworkBoot.
BootTable(BootOut)The output from GroupNetworkBoot
Nodes included in each edge
Nodes included in each edge
Edge identifier
sample value of each edge
mean of boostrapped values of each edge
lower bound of the .95 confidence interval
upper bound of the .95 confidence interval
proportion of bootstraps, in which an edge was estimated as equal to zero (i.e., 0= edge not estimated as zero throughout bootstraps; 1= edge estimated as zero in all bootstraps)
Proportion of bootstraps in which an edge was estimated as >0 (i.e., positive)
Proportion of bootstraps in which an edge was estimated as <0 (i.e., negative)
group in which the edge was estimated
Summary table of the output of GroupNetworkBoot
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195<U+2013>212. https://doi.org/10.3758/s13428-017-0862-1 Danaher, P., Wang, P., & Witten, D. M. (2014). The joint graphical lasso for inverse covariance estimation across multiple classes. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(2), 373<U+2013>397. https://doi.org/10.1111/rssb.12033
JGL, qgraph, parcor