Caraka, Rezzy Eko and Lee, Youngjo and Han, Jeongseop and Lee, Hangbin and Noh, Maengseok and Ha, Il Do and Gio, Prana Ugiana and Pardamean, Bens (2022) Albatross analytics a hands-on into practice: statistical and data science application. Journal of Big Data, 9 (1). ISSN 2196-1115
Full text not available from this repository. (Request a copy)Abstract
Albatross 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Albatross analytics; R shiny; Data science; Statistics; Application |
| Subjects: | Computers, Control & Information Theory |
| Depositing User: | Maria Regina Karunia |
| Date Deposited: | 05 Mar 2026 03:34 |
| Last Modified: | 05 Mar 2026 03:34 |
| URI: | https://karya.brin.go.id/id/eprint/57966 |


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