Get_theta_0: Estimate the value of theta_0 using MLE with ridge penalty

In JustinaXie/NDATA: Network Assisted Analysis for De novo mutations

Estimate the value of theta_0 using MLE with ridge penalty

Description

Estimate the value of theta_0 using MLE with ridge penalty

Usage

Get_theta_0(
  nodesLabel,
  nodesNeighbor,
  w,
  W,
  lambda = 0.1,
  threshold = 1e-04,
  maxite = 100
)

Arguments

nodesLabel	The vector of latent state of all genes.
nodesNeighbor	Neighbors of corresponding nodes in the network.
w	The parameter in the prior for network.
W	Another way to input the weight. For internal use.
lambda	The tuning parameter for ridge.
threshold	The threshold for convergence.
maxite	The maximum number of iteration.

Value

The estimated value for theta_0:beta0_new

JustinaXie/NDATA documentation built on May 22, 2022, 11:44 a.m.