fit.coefficients: Estimate The Coefficients Of An Adjacency Matrix

In rlebron-bioinfo/gnlearn: Genetic Network Learning

Description

This function allows you to estimate the coefficients of the adjacency matrix of a previously learned graph.

Usage

fit.coefficients(
  g,
  df,
  to = c("igraph", "adjacency", "edges", "graph", "bnlearn"),
  from = c("auto", "adjacency", "edges", "graph", "igraph", "bnlearn"),
  cluster = parallel::detectCores()
)

Arguments

g	Graph object.
df	Dataset.
to	Output format (optional): 'adjacency', 'edges', 'graph', 'igraph', or 'bnlearn'. Default: 'igraph'
from	Input format (optional): 'auto', 'adjacency', 'edges', 'graph', 'igraph', or 'bnlearn'. Default: 'auto'
cluster	A cluster object from package parallel or the number of cores to be used (optional). Default: parallel::detectCores()

Examples

g <- fit.coefficients(g, df)

rlebron-bioinfo/gnlearn documentation built on July 25, 2020, 12:38 p.m.