R: Penalized Fast Causal Inference for High-Dimensional Structure Learning

# Penalized Fast Causal Inference for High-Dimensional Structure Learning

## Documentation for package ‘PFCI’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

metrics_with_latent | Metrics for latent simulation using oracle-FCI truth (skeleton only)
pfci_fit | Penalized FCI (PFCI): glasso screening + constrained FCI
pfci_metrics | Compute PFCI metrics from a simulation object and a pfci_fit output
plot_pag | Plot a PAG returned by PFCI
simulate_pfci_toy | Simulate toy data for PFCI using topo-ordered DAG + rmvDAG
simulate_with_latent | Simulate data with latent variables and oracle-FCI truth skeleton