graphical_lasso_fit: Graph reconstruction algorithm.

Description Usage Arguments

View source: R/graphical_lasso.R

Description

Graph reconstruction algorithm.

Usage

1
2
3
4
5
6
7
8
graphical_lasso_fit(
  TS,
  alpha = 0.01,
  max_iter = 100,
  tol = 1e-04,
  threshold_type = "degree",
  ...
)

Arguments

TS

Matrix consisting of L observations from N variables.

alpha

Coefficient of penalization, higher values means more sparseness

max_iter

Maximum number of iterations.

tol

Stop the algorithm when the duality gap is below a certain threshold.

threshold_type

Which thresholding function to use on the matrix of weights.

...

Arguments


travisbyrum/constructnet documentation built on March 3, 2021, 12:18 p.m.