Albatross analytics a hands-on into practice: statistical and data science application-Reference-Cited by-同舟云学术

Albatross analytics a hands-on into practice: statistical and data science application

Published:2022-05-26 Issue:1 Volume:9 Page:
ISSN:2196-1115
Container-title:Journal of Big Data
language:en
Short-container-title:J Big Data

Author:

Caraka Rezzy Eko^ORCID,Lee Youngjo,Han Jeongseop,Lee Hangbin,Noh Maengseok,Do Ha Il,Gio Prana Ugiana,Pardamean Bens

Abstract

AbstractAlbatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model effects, including Hierarchical Generalized Linear Models (HGLMs), Double Hierarchical Generalized Linear Models (DHGLMs), Multivariate Double Hierarchical Generalized Linear Models (MDHGLMs), Survival Analysis, Frailty Models, Support Vector Machines (SVMs), and Hierarchical Likelihood Structural Equation Models (HSEMs). We provide 94 types of dataset examples.

Funder

National Research Foundation Korea

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Link

https://link.springer.com/content/pdf/10.1186/s40537-022-00626-y.pdf

Reference90 articles.

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5. Lee Y, Rnnegrd L, Noh M. Double HGLMs using the dhglm package. In: Noh M, editor. Data analysis using hierarchical generalized linear models with R. London: Chapman and Hall; 2017.

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