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010 a| 2022053168;

020 a| 9781032259628q| (hbk);

020 a| 9781032259635q| (pbk);

020 z| 9781003285878q| (ebk);

035 a| (WaSeSS)ssj0002812328;

040 a| DLCb| engc| DLCd| WaSeSS;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| QA279.5b| .B37 2023;

082 00 a| 519.5/422| 23/eng20230328;

084 a| 62C10a| 62F15a| 62P15a| 60K35a| 62H11a| 68P05a| 97R50a| 68Pxx2| msc;

100 1 a| Barreda, Santiago.?| UNAUTHORIZED;

245 10 a| Bayesian multilevel models for repeated measures datah| [electronic resource] :b| a conceptual and practical introduction in R /c| Santiago Barreda and Noah Silbert.;

260 a| Abingdon, Oxon ;a| New York, NY :b| Routledge,c| [2023];

263 a| 2304;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated-measures data, focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Bayesian statistical decision theory.=| ^A20878;

650 0 a| R (Computer program language)=| ^A523882;

650 0 a| Multilevel models (Statistics)=| ^A561263;

650 7 a| Statistics -- Decision theory -- Bayesian problems; characterization of Bayes procedures.2| msc;

650 7 a| Statistics -- Parametric inference -- Bayesian inference.2| msc;

650 7 a| Statistics -- Applications -- Applications to psychology.2| msc;

650 7 a| Probability theory and stochastic processes -- Special processes -- Interacting random processes; statistical mechanics type models; percolation theory.2| msc;

650 7 a| Statistics -- Multivariate analysis -- Directional data; spatial statistics.2| msc;

650 7 a| Computer science -- Theory of data -- Data structures.2| msc;

650 7 a| Mathematics education -- Computer science applications -- Data bases, information systems.2| msc;

650 7 a| Computer science -- Theory of data.2| msc;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003285878;

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998 a| 6657572;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6657572-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6657572-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/18/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6657572-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

Bayesian multilevel models for repeated measures data a conceptual and practical introduction in R / Santiago Barreda and Noah Silbert.

Author/creator	Barreda, Santiago
Format	Electronic
Publication Info	Abingdon, Oxon ; New York, NY : Routledge, [2023]
Description	pages cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Bayesian statistical decision theory. R (Computer program language) Multilevel models (Statistics)

Abstract	"This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated-measures data, focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2022053168
ISBN	9781032259628 (hbk)
ISBN	9781032259635 (pbk)
ISBN	(ebk)

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Bayesian multilevel models for repeated measures data a conceptual and practical introduction in R / Santiago Barreda and Noah Silbert.

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