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vibass: Materials for Introductory Course on Bayesian Learning
Practicals, data sets, helper functions and interactive 'Shiny' apps used in the introductory course on Bayesian inference at the Valencia International Bayesian Summer School. Installing 'vibass' installs all the other packages used during the course and downloads all necessary materials for working off line.
Getting started
README.md
Practical 1: Binary data
Practical 2: Count data
Practical 2: Normal data
Practical 3: Bayesian polynomial regression
Practical 4: Simulation-based Bayesian inference
Practical 5: Numerical approaches
Practical 6: Software and GLMs
Practical 7: Bayesian Hierarchical Modelling
Practical 8: Optional Extra and Advanced Material
Browse package contents
Package details |
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| Author | VIBASS Team [aut, cph], Facundo Muñoz [ctb, cre] (Cirad, Package developer, ORCID: <https://orcid.org/0000-0002-5061-4241>), Carmen Armero [ctb] (Universitat de València), Anabel Forte [ctb] (Universitat de València), David Conesa [ctb] (Universitat de València), Mark Brewer [ctb] (Biomathematics and Statistics Scotland (BioSS), ORCID: <https://orcid.org/0000-0001-7559-389X>), Virgilio Gómez-Rubio [ctb] (Universidad Castilla-La Mancha, ORCID: <https://orcid.org/0000-0002-4791-3072>) |
| Maintainer | Facundo Muñoz <facundo.munoz@cirad.fr> |
| License | GPL-3 |
| Version | 1.0.1 |
| URL | http://vabar.es/vibass/ https://github.com/VABAR/vibass |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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