vibass: Materials for Introductory Course on Bayesian Learning (original) (raw)
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: | 1.0.3 |
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Depends: | R (≥ 4.0) |
Imports: | cli, dplyr, extraDistr, ggplot2, golem, knitr, lme4, magrittr, R2BayesX, rlang, rstudioapi, shiny (≥ 1.5), tibble, tidyr |
Suggests: | spelling, bayesrules, coda, colorspace, cowplot, faraway, htmlwidgets, INLA, ISLR, LaplacesDemon, magick, MASS, MCMCpack, plotly, rmarkdown, pacman, png, spData, stringi |
Published: | 2025-09-10 |
DOI: | 10.32614/CRAN.package.vibass |
Author: | VIBASS Team [aut, cph], Facundo Muñoz |
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 |
Language: | en-GB |
Materials: | README, NEWS |
CRAN checks: | vibass results |
Documentation:
Downloads:
Linking:
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