iterativeMCMCclass: iterativeMCMC class structure

In BiDAG: Bayesian Inference for Directed Acyclic Graphs

iterativeMCMC class structure

Description

The structure of an object of S3 class iterativeMCMC.

Details

An object of class iterativeMCMC is a list containing at least the following components:

• DAG: adjacency matrix of a maximum scoring DAG found/sampled in MCMC.

• CPDAG: adjacency matrix representing equivalence class of a maximum scoring DAG found/sampled in MCMC.

• score: score of a maximum scoring DAG found/sampled in MCMC.

• maxorder: order of a maximum scoring DAG found/sampled in MCMC.

• maxtrace: a list of maximum score graphs uncovered at each expansion of the search space; their scores and orders

• info: a list containing information about parameters and results of MCMC

• trace: a list of vectors containing log-scores of sampled DAGs, each element of the list corresponds to a single expansion of a search space

• startspace: adjacency matrix representing the initial core space where MCMC was ran

• endspace: adjacency matrix representing the final core space where MCMC was ran

  Optional components:

  • traceadd: list which consists of three elements:

    • incidence: list containg adjacency matrices of sampled DAGs

    • order: list of orders from which the DAGs were sampled

    • orderscores: a list of vectors with order log-scores

  • scoretable: object of class scorespace class

Author(s)

Polina Suter

BiDAG documentation built on May 31, 2023, 6:46 p.m.