Generates Prior Distributions for Proportions

Translates beliefs into prior information in the form of Beta and Gamma distributions. It can be used for the generation of priors on the prevalence of disease and the sensitivity/specificity of diagnostic tests and any other binomial experiment.

PriorGen - Ver 1.2 beta

PriorGen — Generates Prior Distributions for Proportions

Installation

To install the current source from GitHub use:

install.packages(c("devtools", "remotes"))
require(devtools)
require(remotes)
remotes::install_github("kpatera/PriorGen-1")

To install a stable version from the drat repository use:

install.packages("PriorGen")

Basic functions of PriorGen package

require(PriorGen)

To run elicitation analysis on an example dataset:

out<-findbeta(themode=0.15, percentile=0.90,lower.v=TRUE, percentile.value=0.40, silent=TRUE)
out

To create a plot of the analyzed data as a PriorGen class object:

plot(out)

The basic two functions of PriorGen are findbeta() and findbetamupsi(). For help on these functions type:

?findbeta
?findbetamupsi
?findbeta_panel

Troubleshooting

In case an error during download occur try the following

remotes::install_github("kpateras/PriorGen-1", force = TRUE, dependecies = TRUE)

@KP