Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC
Analyse Count data using MCMC
Analyse Count data using MCMC
Count Data Predicted Precision Calculations
Count Data Power Analysis Calculations
Analyse FECRT Data Using MCMC to Give a Probability Distribution of Va...
Create an MCMC model to analyse FECRT Data
FECRT Predicted Precision Calculations
FECRT Power Analysis Calculations
Calculate the (Log) Likelihood of Obtaining Data from a Distribution
Calculate the Log-Normal Mean and Standard Deviation Using the Normal ...
Calculate the Maximum Likelihood Parameters of a Continuous or Count D...
Calculate the Normal Mean and Standard Deviation Using the Log-Normal ...
Analyse Count Data Using Jags
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.