gen_two_rmodel_dag: Generate two random DAG Boolean models with a specified...

In BTR: Training and Analysing Asynchronous Boolean Models

Description

This function generates a random DAG Boolean model, then get another random DAG Boolean model that is a specified number of steps apart by adding and/or removing genes. Difficult to generate completely directed graph with a specified number of steps apart.

Usage

gen_two_rmodel_dag(var, steps, mvar = length(var), in_amat = NULL,
  acyclic = T)

Arguments

var	character vector. A vector of single genes/variables to be used in the model.
steps	integer. Number of steps apart between the two models. If steps=0, give completely random starting model.
mvar	integer. Maximum number of variables in act or inh rule. Default to length(var).
in_amat	matrix. Provide adjacency matrix of first model.
acyclic	logical. Whether to restrict the model to being acyclic or not. Defaults to TRUE.

BTR documentation built on May 2, 2019, 12:21 p.m.