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Extracting, Computing and Exploring the Parameters of Statistical Models using R

Bibliographic Data

ID23316016
AuthorsDaniel Lüdecke (0000-0002-8895-3206, Universität Hamburg), Mattan Ben-Shachar (0000-0002-4287-4801, Ben-Gurion University of the Negev), Indrajeet Patil (0000-0003-1995-6531, Max Planck Institute for Human Development), Dominique Makowski (0000-0001-5375-9967, Nanyang Technological University)
Year2020
Volume5
Issue53
Pages2445
Publication date2020-09-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Open Source Software (JOURNAL)
Journal identifiersISSN: 2475-9066 • E-ISSN: 2475-9066
PublisherThe Open Journal (PUBLISHER)
DOI10.21105/joss.02445
OpenAlexW3084004974
LanguageEN
Citations received81
References cited7

The recent growth of data science is partly fueled by the ever-growing amount of data and the joint important developments in statistical modeling, with new and powerful models and frameworks becoming accessible to users. Although there exist some generic functions to obtain model summaries and parameters, many package-specific modeling functions do not provide such methods to allow users to access such valuable information.

Computer Science · Data Analysis with R · Statistical Methods and Bayesian Inference · Statistical Methods and Inference

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Unique citing works81
Citations per year13,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 79

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