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.tar.gz(r-4.5-noble)beaver_1.0.0.tar.gz(r-4.4-noble)
beaver_1.0.0.tgz(r-4.4-emscripten)beaver_1.0.0.tgz(r-4.3-emscripten)
beaver.pdf |beaver.html✨
beaver/json (API)
NEWS

# Install 'beaver' in R:
install.packages('beaver', repos = c('https://cran.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

jagscpp

2.59 score 77 scripts 204 downloads 15 exports 43 dependencies

Last updated 7 months agofrom:02fcc5e30f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-linuxOKDec 19 2024

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