sub-.cia_post_chains: Index a cia_post_chains object with respect to iterations.

In cia: Learn and Apply Directed Acyclic Graphs for Causal Inference

Index a cia_post_chains object with respect to iterations.

Description

Index a cia_post_chains object with respect to iterations.

Usage

## S3 method for class 'cia_post_chains'
x = list()[i, ...]

Arguments

x	A cia_post_chain object.
i	An index to get the cia_post_chain iterations.
...	ellipsis for extra indexing parameters.

Value

chain A cia_post_chains object.

Examples

data <- bnlearn::learning.test

dag <- UniformlySampleDAG(colnames(data))
partitioned_nodes <- DAGtoPartition(dag)

scorer <- CreateScorer(
  scorer = BNLearnScorer, 
  data = data
  )

results <- SampleChains(10, partitioned_nodes, PartitionMCMC(), scorer)
dag_chains <- PartitiontoDAG(results, scorer)

pedge_sample <- SampleEdgeProbabilities(dag_chains)
pedge_sample[5, ]

cia documentation built on April 4, 2025, 5:23 a.m.