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]

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NEWS

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

Peer review:

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:

jagscpp

3.89 score 1 stars 77 scripts 242 downloads 15 exports 43 dependencies

Last updated 9 months agofrom:4de4f34477. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 23 2025
R-4.5-winOKJan 23 2025
R-4.5-linuxOKJan 23 2025
R-4.4-winOKJan 23 2025
R-4.4-macOKJan 23 2025
R-4.3-winOKJan 23 2025
R-4.3-macOKJan 23 2025

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:backportscheckmateclicodacolorspacecpp11dplyrellipsisfansifarverfsgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrjagsrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithryodel