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EpiBayes (version 0.1.2)

Implements Hierarchical Bayesian Models for Epidemiological Applications

Description

Hierarchical Bayesian models for use in disease freedom and disease prevalence studies, designed with epidemiological applications in mind. The models themselves are in the spirit of those presented in Branscum et al. (2006) (see package documentation for full reference). The helper functions and methods were designed to make implementation and processing of the complex model output relatively simple in application.

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Version

Install

install.packages('EpiBayes')

Monthly Downloads

20

Version

0.1.2

License

GPL (>= 2)

Maintainer

Last Published

June 24th, 2015

Functions in EpiBayes (0.1.2)

EpiBayesHistorical

Historical Aggregation for Disease Model
print.ebsamplesize

Print Method for EpiBayes Sample Size Object
print.ebhistorical

Print Method for EpiBayes Historical Object
EpiBayes_s

Disease Model with Storage
utils_newalphbet

Computes Beta Parameters given a Mean and Variance
plot.ebhistoricalsummary

Plot Method for Summary of EpiBayes Historical Object
ebhistorical

ebhistorical Generic
utils_mumhtargetdist

Target Distribution for MH Step for mu
print.eb

Print Method for EpiBayes Object
print.ebsummary

Print Method for EpiBayes Historical Object
ebsamplesize

ebsamplesize Generic
eb

eb Generic
plot.eb

Plot Method for EpiBayes Output
utils_mumhproposaldist

Proposal Distribution for MH Step for mu
EpiBayesSampleSize

Sample Size Search for EpiBayes Models
plot.ebhistorical

Plot Method for EpiBayesHistorical Output
summary.eb

Summary Method for EpiBayes Object
summary.ebhistorical

Summary Method for EpiBayes Historical Object
EpiBayes_ns

Disease Model without Storage
ebsummary

ebsummary Generic
print.ebhistoricalsummary

Print Method for EpiBayes Historical Object