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cff-version: 1.2.0
message: 'To cite package "BASiCStan" in publications use:'
type: software
license: GPL-3.0-only
title: 'BASiCStan: Stan implementation of BASiCS'
version: 1.7.0
abstract: Provides an interface to infer the parameters of BASiCS using the variational
  inference (ADVI), Markov chain Monte Carlo (NUTS), and maximum a posteriori (BFGS)
  inference engines in the Stan programming language. BASiCS is a Bayesian hierarchical
  model that uses an adaptive Metropolis within Gibbs sampling scheme. Alternative
  inference methods provided by Stan may be preferable in some situations, for example
  for particularly large data or posterior distributions with difficult geometries.
authors:
- family-names: O'Callaghan
  given-names: Alan
  email: alan.ocallaghan@outlook.com
- family-names: Vallejos
  given-names: Catalina
repository: https://bioc.r-universe.dev
repository-code: https://github.com/Alanocallaghan/BASiCStan
url: https://github.com/Alanocallaghan/BASiCStan
date-released: '2024-02-14'
contact:
- family-names: O'Callaghan
  given-names: Alan
  email: alan.ocallaghan@outlook.com