Package: bennu 0.3.2

Mike Irvine

bennu: Bayesian Estimation of Naloxone Kit Number Under-Reporting

Bayesian model and associated tools for generating estimates of total naloxone kit numbers distributed and used from naloxone kit orders data. Provides functions for generating simulated data of naloxone kit use and functions for generating samples from the posterior.

Authors:Mike Irvine [aut, cre, cph], Samantha Bardwell [ctb], Andrew Johnson [ctb]

bennu_0.3.2.tar.gz
bennu_0.3.2.zip(r-4.7-x86_64)bennu_0.3.2.zip(r-4.7-arm64)bennu_0.3.2.zip(r-4.6-x86_64)bennu_0.3.2.zip(r-4.6-arm64)
bennu_0.3.2.tar.gz(r-4.7-arm64)bennu_0.3.2.tar.gz(r-4.7-x86_64)bennu_0.3.2.tar.gz(r-4.6-arm64)bennu_0.3.2.tar.gz(r-4.6-x86_64)
bennu_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bennu/json (API)

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

Bug tracker:https://github.com/sempwn/bennu/issues

Pkgdown/docs site:https://sempwn.github.io

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

onetbbcpp

3.18 score 15 scripts 368 downloads 7 exports 61 dependencies

Last updated from:0072682745. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK218
linux-devel-x86_64OK259
source / vignettesOK299
linux-release-arm64OK219
linux-release-x86_64OK230
windows-devel-arm64OK340
windows-devel-x86_64OK340
windows-release-arm64OK356
windows-release-x86_64OK202
wasm-releaseOK184

Exports:%>%est_naloxoneest_naloxone_vecgenerate_model_datakit_summary_tablemodel_random_walk_dataplot_kit_use

Dependencies:abindarrayhelpersbackportsBHcallrcheckmateclicodacpp11descdistributionaldplyrfarvergenericsggdistggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpspurrrquadprogQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeadersstringistringrsvUnittensorAtibbletidybayestidyrtidyselectutf8vctrsviridisLitewithr

Introduction
Incorporating different priors | Random walk of order 2 model | fit missing distribution data | Change scale of data

Last update: 2025-10-09
Started: 2023-06-23

Simulation Validation Experiments
Simulated data inference | Missing data inference

Last update: 2025-10-09
Started: 2025-07-25