Function reference • dce

All functions
`as.data.frame(<dce>)`	Dce to data frame
`as_adjmat()`	graph to adjacency
`create_random_DAG()`	Create random DAG (topologically ordered)
`dce()`	Differential Causal Effects - main function
`dce_nb()`	Differential Causal Effects for negative binomial data
`df_pathway_statistics`	Biological pathway information.
`estimate_latent_count()`	Estimate number of latent confounders Compute the true casual effects of a simulated dag
`g2dag()`	Graph to DAG
`get_pathway_info()`	Dataframe containing meta-information of pathways in database
`get_pathways()`	Easy pathway network access
`get_prediction_counts()`	Compute true positive/... counts
`graph2df()`	Graph to data frame
`graph_union()`	Graph union
`pcor()`	Partial correlation
`permutation_test()`	Permutation test for (partial) correlation on non-Gaussian data
`plot(<dce>)`	Plot dce object
`plot_network()`	Plot network adjacency matrix
`propagate_gene_edges()`	Remove non-gene nodes from pathway and reconnect nodes
`resample_edge_weights()`	Resample network edge weights
`rlm_dce()`	costum rlm function
`simulate_data()`	Simulate data
`summary(<rlm_dce>)`	summary for rlm_dce
`topologically_ordering()`	Topological ordering
`trueEffects()`	Compute the true casual effects of a simulated dag

Reference