We present a novel generalized varying-coefficient model that accounts for within-subject variability and simultaneously clusters varying-coefficient functions.

Oct 19, 2022 · In the analysis of a heterogeneous series of binary data, the model extracts population-level fixed effects, cluster-level varying effects, and ...

Apr 11, 2023 · In the analysis of a heterogeneous series of binary data, the model extracts population-level fixed effects, cluster-level varying effects, and ...

Sep 1, 2023 · In the analysis of a heterogeneous series of binary data, the model extracts population-level fixed effects, cluster-level varying effects, and ...

Functional clustering methods for binary longitudinal data with temporal heterogeneity · List of references · Publications that cite this publication.

In the analysis of a heterogeneous series of binary data, the model extracts population-level fixed effects, cluster-level varying effects, and subject-level ...

Functional clustering methods for binary longitudinal data with temporal heterogeneity ... functional data, most methods use traditional clustering techniques ...

Dive into the research topics of 'Functional clustering methods for binary longitudinal data with temporal heterogeneity'. Together they form a unique ...

This is a R package for Functional clustering methods for binary longitudinal data with temporal heterogeneity. Installation.

Functional clustering methods for binary longitudinal data with temporal heterogeneity. Jinwon Sohn, Seonghyun Jeong, Young Min Cho, and Taeyoung Park