derive_trigger_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 the trigger package.

Usage

derive_trigger_posterior_probabilities(
  GRN,
  trigger_obj = NULL,
  seed = NULL,
  window.size = 50000
)

Arguments

GRN	List produced by simulate_GRN containing GRN structure and statistics.
trigger_obj	Precomputed object of class 'trigger' (build + loclink).
seed	Random seed for reproducibility.
window.size	Window size when looking for genetic markers. Default option is value chosen in Chen et al. (2007)

Value

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

Examples

GRN <- simulate_GRN(100, 100, 100, 0.01)
derive_trigger_posterior_probabilities(GRN)

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