Package: bnns 0.1.2.9000

bnns: Bayesian Neural Network with 'Stan'

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>.

Authors:Swarnendu Chatterjee [aut, cre, cph]

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bnns.pdf |bnns.html
bnns/json (API)
NEWS

# Install 'bnns' in R:
install.packages('bnns', repos = c('https://swarnendu-stat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/swarnendu-stat/bnns/issues

Pkgdown site:https://swarnendu-stat.github.io

On CRAN:

Conda-Forge:

4.40 score 1 stars 236 downloads 13 exports 54 dependencies

Last updated 1 months agofrom:70509b54d8. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winNOTEMar 04 2025
R-4.5-macNOTEMar 04 2025
R-4.5-linuxNOTEMar 04 2025
R-4.4-winNOTEMar 04 2025
R-4.4-macNOTEMar 04 2025
R-4.4-linuxNOTEMar 04 2025
R-4.3-winNOTEMar 04 2025
R-4.3-macNOTEMar 04 2025

Exports:bnnsbnns_traingenerate_stan_codegenerate_stan_code_bingenerate_stan_code_catgenerate_stan_code_contmeasure_binmeasure_catmeasure_contrelusigmoidsoftmax_3dsoftplus

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigplyrposteriorpROCprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

bnns

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Last update: 2025-01-10
Started: 2024-12-23