Translating-SEM-to-bnlearn

library(bnSEM)
#> Loading required package: mxsem
#> Loading required package: OpenMx
#> To take full advantage of multiple cores, use:
#>   mxOption(key='Number of Threads', value=parallel::detectCores()) #now
#>   Sys.setenv(OMP_NUM_THREADS=parallel::detectCores()) #before library(OpenMx)
#> Loading required package: bnlearn

“A nonzero covariance […] indicates the existence of an unobserved common cause of the variables” (Gische and Voelkle 2022, 871)

Gische, Christian, and Manuel C Voelkle. 2022. “Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models.” Psychometrika 87 (3): 868–901.