Package: BANDITS
Type: Package
Title: BANDITS: Bayesian ANalysis of DIfferenTial Splicing
Version: 1.28.0
Author: Simone Tiberi [aut, cre].
Maintainer: Simone Tiberi <simone.tiberi@unibo.it>
Description: BANDITS is a Bayesian hierarchical model for detecting differential splicing of genes and transcripts,
  via differential transcript usage (DTU), between two or more conditions.
  The method uses a Bayesian hierarchical framework, which allows for sample specific proportions
  in a Dirichlet-Multinomial model, and samples the allocation of fragments to the transcripts.
  Parameters are inferred via Markov chain Monte Carlo (MCMC) techniques and a DTU test is performed 
  via a multivariate Wald test on the posterior densities for the average relative abundance of transcripts.
biocViews: DifferentialSplicing, AlternativeSplicing, Bayesian,
        Genetics, RNASeq, Sequencing, DifferentialExpression,
        GeneExpression, MultipleComparison, Software, Transcription,
        StatisticalMethod, Visualization
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Imports: Rcpp, doRNG, MASS, data.table, R.utils, doParallel, parallel,
        foreach, methods, stats, graphics, ggplot2, DRIMSeq,
        BiocParallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat, tximport, BiocStyle,
        GenomicFeatures, Biostrings
SystemRequirements: C++17
VignetteBuilder: knitr
RoxygenNote: 7.3.2
ByteCompile: true
URL: https://github.com/SimoneTiberi/BANDITS
BugReports: https://github.com/SimoneTiberi/BANDITS/issues
git_url: https://git.bioconductor.org/packages/BANDITS
git_branch: RELEASE_3_23
git_last_commit: b3e67fc
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
NeedsCompilation: yes
Packaged: 2026-04-28 21:27:12 UTC; biocbuild
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-29 04:33:53 UTC; unix
