Package: beaver 1.0.0

Hollins Showalter

beaver: Bayesian Model Averaging of Covariate Adjusted Negative-Binomial Dose-Response

Dose-response modeling for negative-binomial distributed data with a variety of dose-response models. Covariate adjustment and Bayesian model averaging is supported. Functions are provided to easily obtain inference on the dose-response relationship and plot the dose-response curve.

Authors:Richard Payne [aut], Hollins Showalter [aut, cre], Eli Lilly and Company [cph]

beaver_1.0.0.tar.gz
beaver_1.0.0.zip(r-4.7)beaver_1.0.0.zip(r-4.6)beaver_1.0.0.zip(r-4.5)
beaver_1.0.0.tgz(r-4.6-any)beaver_1.0.0.tgz(r-4.5-any)
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beaver_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
beaver/json (API)

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

Bug tracker:https://github.com/rich-payne/beaver/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

jagscpp

3.57 score 1 stars 74 scripts 286 downloads 15 exports 37 dependencies

Last updated from:4de4f34477. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK342
source / vignettesOK186
linux-release-x86_64OK314
macos-release-arm64OK185
macos-oldrel-arm64OK304
windows-develOK346
windows-releaseOK344
windows-oldrelOK297
wasm-releaseOK132

Exports:beaver_mcmcdata_negbin_emaxdrawsmodel_negbin_emaxmodel_negbin_expmodel_negbin_indepmodel_negbin_linearmodel_negbin_loglinearmodel_negbin_logquadmodel_negbin_quadmodel_negbin_sigmoid_emaxposteriorposterior_g_comppr_eoipr_eoi_g_comp

Dependencies:backportscheckmateclicodacpp11dplyrellipsisfarverfsgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrjagsrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithryodel