Description
Generates Prior Distributions for Proportions.
Description
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.
README.md
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.