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bayescount (version 0.9.9-1)

Power calculations and Bayesian analysis of count distributions and FECRT data using MCMC

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. Requires Just Another Gibbs Sampler (JAGS) for most functions (except power analysis calculations), see: http://www-fis.iarc.fr/~martyn/software/jags/.

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Version

Install

install.packages('bayescount')

Monthly Downloads

345

Version

0.9.9-1

License

GPL

Maintainer

Matthew Denwood

Last Published

November 24th, 2009

Functions in bayescount (0.9.9-1)

lnormal.params

Calculate the Log-Normal Mean and Standard Deviation Using the Normal Mean and Standard Deviation
maximise.likelihood

Calculate the Maximum Likelihood Parameters of a Continuous or Count Distribution
run.model

Analyse Count Data Using Jags
normal.params

Calculate the Normal Mean and Standard Deviation Using the Log-Normal Mean and Standard Deviation
fecrt.power

FECRT Power Analysis Calculations
likelihood

Calculate the (Log) Likelihood of Obtaining Data from a Distribution
fecrt

Analyse FECRT Data Using Mcmc to Give a Probability Distribution of Values for the Mean Egg Count Reduction
fecrt.power.limits

FECRT Power Analysis Calculations (find tolerance)
bayescount.single

Analyse Count data using MCMC
bayescount

Analyse Count data using MCMC
fec.power.limits

FEC Power Analysis Calculations (find tolerance)
fec.power

FEC Power Analysis Calculations