softImpute.network.missing: Estimate graphon matrix by soft-impute for independent...

In changepoints: A Collection of Change-Point Detection Methods

Estimate graphon matrix by soft-impute for independent adjacency matrices with missing values.

Description

Estimate graphon matrix by soft-impute for independent adjacency matrices with missing values.

Usage

softImpute.network.missing(
  data_incomplete_list,
  eta_list,
  lambda,
  a,
  it_max = 10000
)

Arguments

data_incomplete_list	A list of adjacency matrices (with entries being 0 or 1) with missing values being coercing to 0.
eta_list	A list of matrices associated with data_incomplete_list, each matrix indicates the missing entries in corresponding adjacency matrix.
lambda	A numeric scalar of thresholding parameter for leading singular value in the soft-impute algorithm.
a	A numeric scalar of truncation parameter in the soft-impute algorithm.
it_max	An integer scalar of maximum iteration for the soft-impute algorithm.

Value

Estimated graphon matrix

Author(s)

Haotian Xu

References

Dubey, Xu and Yu (2021) <arxiv:2110.06450>

changepoints documentation built on Sept. 4, 2022, 5:06 p.m.