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

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dc.contributor.authorRezzy Eko Caraka-
dc.contributor.authorYoungjo Lee-
dc.contributor.authorJeongseop Han-
dc.contributor.authorHangbin Lee-
dc.contributor.authorMaengseok Noh-
dc.contributor.authorIl Do Ha-
dc.contributor.authorPrana Ugiana Gio-
dc.contributor.authorBens Pardamean-
dc.date.accessioned2022-06-13T04:57:40Z-
dc.date.available2022-06-13T04:57:40Z-
dc.date.issued2022-05-26-
dc.identifier.citationJournal of Big Data. Vol.9(1):70ko_KR
dc.identifier.urihttps://hdl.handle.net/10371/181273-
dc.description.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.ko_KR
dc.language.isoenko_KR
dc.publisherSpringerko_KR
dc.subjectAlbatross analytics-
dc.subjectR shiny-
dc.subjectData science-
dc.subjectStatistics-
dc.subjectApplication-
dc.titleAlbatross analytics a hands-on into practice: statistical and data science applicationko_KR
dc.typeArticleko_KR
dc.identifier.doihttps://doi.org/10.1186/s40537-022-00626-yko_KR
dc.citation.journaltitleJournal of Big Datako_KR
dc.language.rfc3066en-
dc.rights.holderThe Author(s)-
dc.date.updated2022-05-29T03:33:34Z-
dc.citation.number1ko_KR
dc.citation.startpage70ko_KR
dc.citation.volume9ko_KR
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