glasso: Graphical Lasso (GLASSO)

In rlebron-bioinfo/gnlearn: Genetic Network Learning

Description

This function allows you to learn an undirected graph from a dataset using the GLASSO algorithm.

Usage

glasso(
  df,
  rho = 0.1,
  m = NULL,
  to = c("igraph", "adjacency", "edges", "graph", "bnlearn"),
  seed = sample(1:10^6, 1)
)

Arguments

df	Dataset.
rho	Non-negative regularization parameter for GLASSO.
m	Size of training set (optional). Default: nrow(df)/2
to	Output format ('adjacency', 'edges', 'graph', 'igraph', or 'bnlearn') (optional).
seed	Seed used for random selection. Default: NULL

Examples

g <- glasso(df, rho=0.1)

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