Advanced Bayesian Multilevel Modeling with the R Package brms
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Summary
Brms provides an intuitive and powerful formula syntax, which extends the well known formula syntax of lme4, which is introduced in detail and demonstrated its usefulness with four examples, each showing other relevant aspects of the syntax.
- Type
- preprint
- Published
- 2017-05-31
- Cited by
- 2,435
- References
- 45
- Access
- Open access
- OpenAlex
- https://openalex.org/W2766160192
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:54534499
Keywords
Syntax, Computer science, Parametric statistics, Bayesian probability, Range (aeronautics)
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- Applied Mixed Models in Medicine
- Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models
- The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
- Straightforward intermediate rank tensor product smoothing in mixed models
- Generalized additive models for location, scale and shape
- Data Analysis Using Regression and Multilevel/Hierarchical Models
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
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