bicCondLike: BIC for space under conditional chain graph likelihood...

In topherconley/spacemap: A novel conditional graphical model for integrative genomics

Description

Calculate the BIC under the conditional chain graph likelihood.

Usage

bicCondLike(fit, tol, Y, X, model = c("spacemap", "space", "scggm"),
  Yindex = NULL, Xindex = NULL)

Arguments

fit	The fitted model object returned from spacemap::[spacemap, space].
tol	A numeric lower bound on non-zero parameter values.
Y	A numeric matrix of N X Q responses.
X	A numeric matrix of N X P predictors.
model	Character vector specifying which model type is being evaluated.
Yindex	Indices of Y nodes for model == "space"
Xindex	Indices of X nodes for model== "space"

Value

the Bayesian Information Criterion (BIC) under conditional chain graph likelihood formulation.

References

Zhang L, Kim S (2014) Learning Gene Networks under SNP Perturbations Using eQTL Datasets. PLoS Comput Biol 10(2): e1003420. doi: 10.1371/journal.pcbi.1003420

topherconley/spacemap documentation built on May 31, 2019, 6:36 p.m.