R: The Directed Prediction Index for Causal Direction Inference from Observational Data

# The Directed Prediction Index for Causal Direction Inference from Observational Data

## Documentation for package ‘DPI’ version 2026.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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.