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.
Version: 1.0.1 Depends: R (≥ 4.0) Imports: cli, dplyr, extraDistr, ggplot2, golem, knitr, lme4, magrittr, R2BayesX, rlang, rstudioapi, shiny (≥ 1.5), tibble, tidyr Suggests: bayesrules, coda, cowplot, faraway, hrbrthemes, htmlwidgets, INLA, ISLR, LaplacesDemon, magick, MASS, MCMCpack, plotly, rmarkdown, pacman, png, spData, stringi, waffle Published: 2025-07-07 DOI: 10.32614/CRAN.package.vibass Author: VIBASS Team [aut, cph], Facundo Muñoz [ctb, cre] (Cirad, Package developer), 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)), Virgilio Gómez-Rubio [ctb] (Universidad Castilla-La Mancha) Maintainer: Facundo Muñoz <facundo.munoz at cirad.fr> BugReports: https://github.com/VABAR/vibass/issues License: GPL-3 URL: http://vabar.es/vibass/, https://github.com/VABAR/vibass NeedsCompilation: no Additional_repositories: https://inla.r-inla-download.org/R/testing Materials: README, NEWS CRAN checks: vibass results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=vibass to link to this page.
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