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Multilevel Modeling Using R

Bibliographic Data

ID19907161
AuthorsW Holmes Finch (0000-0003-0393-2906), Jocelyn E Bolin, Jocelyn E Holden, Ken Kelley (0000-0002-4756-8360)
Year2016
Pages230
Publication date2016-03-09
Open AccessNo
TypeBOOK
VenueMultilevel Modeling Using R (SOURCE_BOOK)
PublisherCRC Press (PUBLISHER • NL)
DOI10.1201/b17096
OpenAlexW4298188426
Open LibraryOL33779797M
ISBN9780429096778
LanguageEN
Citations received29

Multilevel Modelling using R provides a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. The book concludes with Bayesian fitting of multilevel models. Complete data sets for the book can be found on the book's website www.mlminr.com

Computer Science · demographic modeling and climate adaptation · Urban, Neighborhood, and Segregation Studies · Analyse multivariée · Computers · General · Logiciels · Mathematical & Statistical Software · Mathematics · Méthodes statistiques · Multivariate analysis · Probability & Statistics · Programming languages (Electronic computers) · R (Computer program language) · R (Langage de programmation) · Social sciences · Social sciences, statistical methods · Software · Statistical methods

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Unique citing works29
Citations per year2,9
Citation span2016 - 2025 (10)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 14

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