By Franzi Korner-Nievergelt,Tobias Roth,Stefanie von Felten,Jérôme Guélat,Bettina Almasi,Pius Korner-Nievergelt
Bayesian info research in Ecology utilizing Linear Models with R, insects, and STAN examines the Bayesian and frequentist equipment of carrying out info analyses. The booklet offers the theoretical history in an easy-to-understand technique, encouraging readers to check the methods that generated their facts. together with discussions of version choice, version checking, and multi-model inference, the e-book additionally makes use of impression plots that permit a common interpretation of knowledge. Bayesian facts research in Ecology utilizing Linear Models with R, insects, and STAN introduces Bayesian software program, utilizing R for the straightforward modes, and versatile Bayesian software program (BUGS and Stan) for the extra advanced ones. Guiding the prepared from effortless towards extra advanced (real) info analyses ina step by step demeanour, the publication provides difficulties and solutions—including all R codes—that are traditionally appropriate to different info and questions, making it a useful source for interpreting numerous facts types.
- Introduces Bayesian info research, permitting clients to acquire uncertainty measurements simply for any derived parameter of interest
- Written in a step by step method that permits for eased figuring out by way of non-statisticians
- Includes a significant other site containing R-code to assist clients behavior Bayesian facts analyses all alone data
- All instance information in addition to extra features are supplied within the R-package blmeco
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Additional info for Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan by Franzi Korner-Nievergelt,Tobias Roth,Stefanie von Felten,Jérôme Guélat,Bettina Almasi,Pius Korner-Nievergelt