Package: bnns
Title: Bayesian Neural Network with 'Stan'
Version: 1.0.0
Authors@R: 
    person("Swarnendu", "Chatterjee", , "swarnendu.stat@gmail.com", role = c("aut", "cre", "cph"))
Description: 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) <doi:10.1007/978-1-4612-0745-0>.
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Encoding: UTF-8
Suggests: bayesplot, covr, dials, dplyr, ggplot2, knitr, mlbench,
        OpenCL, parsnip (>= 1.0.0), ranger, recipes, rlang, rmarkdown,
        rsample, testthat (>= 3.0.0), tidymodels, tune, workflows
Config/testthat/edition: 3
Imports: BH, digest, loo, pROC, RcppEigen, rstan, stats, tibble
URL: https://github.com/swarnendu-stat/bnns,
        https://swarnendu-stat.github.io/bnns/
BugReports: https://github.com/swarnendu-stat/bnns/issues
VignetteBuilder: knitr
Config/Needs/website: rmarkdown
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-06-07 18:15:37 UTC; swarn
Author: Swarnendu Chatterjee [aut, cre, cph]
Maintainer: Swarnendu Chatterjee <swarnendu.stat@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-07 18:30:02 UTC
Built: R 4.5.2; ; 2026-06-07 18:59:12 UTC; unix
