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bayescount  

Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC
View on CRAN: Click here


Download and install bayescount package within the R console
Install from CRAN:
install.packages("bayescount")

Install from Github:
library("remotes")
install_github("cran/bayescount")

Install by package version:
library("remotes")
install_version("bayescount", "0.9.99-9")



Attach the package and use:
library("bayescount")
Maintained by
Matthew Denwood
[Scholar Profile | Author Map]
First Published: 2007-08-27
Latest Update: 2023-12-08
Description:
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.
How to cite:
Matthew Denwood (2007). bayescount: Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC. R package version 0.9.99-9, https://cran.r-project.org/web/packages/bayescount. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.5.1 (2007-08-27 16:32), 0.8.0 (2008-01-10 18:48), 0.8.2 (2008-01-16 12:21), 0.9.0-7 (2009-01-08 18:00), 0.9.9-1 (2009-11-24 15:37), 0.9.9-2 (2014-06-22 16:59), 0.9.99-4 (2015-03-02 15:51), 0.9.99-5 (2015-04-20 11:47), 0.9.99-8 (2022-05-07 17:00)
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Complete documentation for bayescount
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