SBICgraph (version 1.0.0)

mle: Estimate the precision matrix for multivariate normal distribution with given adjacency matrix using maximum likelihood

Description

This function find the maximum likelihood estimate of the precision matrix with given adjacency matrix for multivariate normal distribution.

Usage

mle(data, priori)

Arguments

data

An n by p dataframe representing the observations

priori

A p by p matrix representing the given adjacency matrix

Value

Returns a p by p matrix estimate of the precision matrix

Details

The methods are based on the relationship between precision matrix of the multivariate normal distribution and regression coefficients.

Examples

# NOT RUN {
  set.seed(1)
  d=simulate(n=100,p=200, m1=100, m2=30)
  data=d$data
  priori=d$realnetwork
  precision=mle(data=data,priori=priori)
# }