initialize-DAG.network-method: creation of a DAG.network

In gbonte/D2C: Predicting Causal Direction from Dependency Features

creation of a DAG.network

Description

creation of a DAG.network

Usage

## S4 method for signature 'DAG.network'
initialize(.Object, network, sdn = 0.5,
  sigma = function(x) return(rnorm(n = 1, sd = sdn)), H = function(x)
  return(H_Rn(1)), additive = TRUE, weights = c(0.8, 2))

Arguments

.Object	: DAG.network object
network	: object of class "igraph" ##' @param sdn : standard deviation of aditive noise.
sigma	: function returning the additive noise
H	: function describing the type of the dependency.
additive	: if TRUE the output is the sum of the H transformation of the inputs, otherwise it is the H transformation of the sum of the inputs.
weights	: [lower,upper], lower and upper bound of the values of the linear weights

gbonte/D2C documentation built on Sept. 8, 2023, 11:22 p.m.