softImpute.network.missing {changepoints}

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>