| BNs_dag | Directed acyclic graphs (DAGs) via Bayesian networks (BNs). |
| cor_matrix | Produce a symmetric correlation matrix from values. |
| cor_net | Correlation and partial correlation networks. |
| DPI | The Directed Prediction Index (DPI). |
| DPI_curve | DPI curve analysis across multiple random covariates. |
| DPI_dag | Directed acyclic graphs (DAGs) via DPI exploratory analysis (causal discovery) for all significant partial _r_s. |
| p_to_bf | Convert _p_ values to approximate (pseudo) Bayes Factors (PseudoBF10). |
| sim_data | Simulate data from a multivariate normal distribution. |
| sim_data_exp | Simulate experiment-like data with _independent_ binary Xs. |