Package: bayescount 0.9.99-9
Matthew Denwood
bayescount: Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC
A set of functions to allow analysis of count data (such as faecal egg count data) using Bayesian MCMC methods. Returns information on the possible values for mean count, coefficient of variation and zero inflation (true prevalence) present in the data. A complete faecal egg count reduction test (FECRT) model is implemented, which returns inference on the true efficacy of the drug from the pre- and post-treatment data provided, using non-parametric bootstrapping as well as using Bayesian MCMC. Functions to perform power analyses for faecal egg counts (including FECRT) are also provided.
Authors:
bayescount_0.9.99-9.tar.gz
bayescount_0.9.99-9.tar.gz(r-4.5-noble)bayescount_0.9.99-9.tar.gz(r-4.4-noble)
bayescount_0.9.99-9.tgz(r-4.4-emscripten)bayescount_0.9.99-9.tgz(r-4.3-emscripten)
bayescount.pdf |bayescount.html✨
bayescount/json (API)
| # Install 'bayescount' in R: |
| install.packages('bayescount', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:0a301ff999. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 04 2024 |
| R-4.5-linux-x86_64 | OK | Oct 04 2024 |
Exports:bayescountbayescount.singlecount.analysiscount.modelcount.powercount.precisionfec.analysisFEC.analysisfec.modelFEC.modelfec.powerFEC.powerfec.power.limitsFEC.power.limitsfec.precisionFEC.precisionfecrtFECRTfecrt.analysisFECRT.analysisfecrt.modelFECRT.modelfecrt.powerFECRT.powerfecrt.power.limitsFECRT.power.limitsfecrt.precisionFECRT.precisionlikelihoodlnormal.paramsmaximise.likelihoodnormal.paramsrun.model
