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.

AuthorMatthew Denwood [aut, cre]
Date of publication2015-04-20 11:46:52
MaintainerMatthew Denwood <>

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bayescount Man page
count.analysis} \alias{fec.analysis Man page
count.model Man page
count.power Man page
count.precision Man page
FEC.analysis} \alias{bayescount.single Man page
fec.model Man page
FEC.model Man page
fec.power Man page
FEC.power Man page
fec.power.limits Man page
FEC.power.limits Man page
fec.precision Man page
FEC.precision Man page
fecrt Man page
FECRT Man page
fecrt.analysis Man page
FECRT.analysis Man page
fecrt.model Man page
FECRT.model Man page
fecrt.power Man page
FECRT.power Man page
fecrt.power.limits Man page
FECRT.power.limits Man page
fecrt.precision Man page
FECRT.precision Man page
likelihood Man page
lnormal.params Man page
maximise.likelihood Man page
normal.params Man page
run.model Man page

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