fastadi-package: fastadi: Self-Tuning Data Adaptive Matrix Imputation

In fastadi: Self-Tuning Data Adaptive Matrix Imputation

fastadi: Self-Tuning Data Adaptive Matrix Imputation

Description

Implements the AdaptiveImpute matrix completion algorithm of 'Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion' \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10618600.2018.1518238")} as well as the specialized variant of 'Co-Factor Analysis of Citation Networks' \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10618600.2024.2394464")}. AdaptiveImpute is useful for embedding sparsely observed matrices, often out performs competing matrix completion algorithms, and self-tunes its hyperparameter, making usage easy.

Author(s)

Maintainer: Alex Hayes [e-mail] (ORCID) [copyright holder]

Authors:

• Juhee Cho

• Donggyu Kim

• Karl Rohe

See Also

Useful links:

• https://rohelab.github.io/fastadi/

• https://github.com/RoheLab/fastadi

• Report bugs at https://github.com/RoheLab/fastadi/issues

fastadi documentation built on June 8, 2025, 12:44 p.m.