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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "bnns" in publications use:'
type: software
license: MIT
title: 'bnns: Bayesian Neural Network with ''Stan'''
version: 0.1.2.9000
doi: 10.32614/CRAN.package.bnns
abstract: 'Offers a flexible formula-based interface for building and training Bayesian
  Neural Networks powered by ''Stan''. The package supports modeling complex relationships
  while providing rigorous uncertainty quantification via posterior distributions.
  With features like user chosen priors, clear predictions, and support for regression,
  binary, and multi-class classification, it is well-suited for applications in clinical
  trials, finance, and other fields requiring robust Bayesian inference and decision-making.
  References: Neal(1996) <https://doi.org/10.1007/978-1-4612-0745-0>.'
authors:
- family-names: Chatterjee
  given-names: Swarnendu
  email: swarnendu.stat@gmail.com
repository: https://swarnendu-stat.r-universe.dev
repository-code: https://github.com/swarnendu-stat/bnns
commit: 72e14b41796ca0d8d06e45343f6528048e969a1c
url: https://swarnendu-stat.github.io/bnns/
contact:
- family-names: Chatterjee
  given-names: Swarnendu
  email: swarnendu.stat@gmail.com