LDparam set — LD_param_est • exametrika

A function that extracts only the estimation of graph parameters after the rank estimation is completed.

Usage

LD_param_est(
  tmp,
  adj_list,
  classRefMat,
  ncls,
  smoothpost,
  beta1 = 2,
  beta2 = 2
)

Arguments

tmp: tmp
adj_list: adj_list
classRefMat: values returned from emclus
ncls: ncls
smoothpost: smoothpost
beta1: Beta distribution parameter 1 for prior density. Default is 2.
beta2: Beta distribution parameter 2 for prior density. Default is 2. Unlike the other network models (which default to 1), the default of 2 follows the original Mathematica implementation of LDLRA.