derive_BFCS_posterior_probabilities: Compute the posterior probabilities of L_k -> T_i -> T_j for...

In igbucur/BFCS: Bayes Factors for Covariance Structures

Description

Compute the posterior probabilities of L_k -> T_i -> T_j for a simulated GRN using BFCS::compute_BFCS_vectorized.

Usage

derive_BFCS_posterior_probabilities(
  GRN,
  prior = uniform_prior_GRN_DMAG(),
  loc_link = NULL
)

Arguments

GRN	List produced by simulate_GRN containing GRN structure and statistics.
prior	Prior on causal graphs (default uniform on DMAGs with bkg. info.)
loc_link	Integer vector specifying genetic marker with strongest local linkage for each expression trait. If not specified, we use the default BFCS maximum probability search strategy.

Value

A numeric matrix of posterior probabilities for each possible causal relationship between the expression traits.

Examples

GRN <- simulate_GRN(10, 10, 1000, 0.1)
derive_BFCS_posterior_probabilities(GRN)
derive_BFCS_posterior_probabilities(GRN, loc_link = 10:1)

igbucur/BFCS documentation built on Oct. 20, 2020, 7:39 a.m.