LogNormalPriorCh {SpatialEpi} | R Documentation |
Compute Parameters to Calibrate a Log-normal Distribution
Description
Compute parameters to calibrate the prior distribution of a relative risk that has a log-normal distribution.
Usage
LogNormalPriorCh(theta1, theta2, prob1, prob2)
Arguments
theta1 |
lower quantile |
theta2 |
upper quantile |
prob1 |
lower probability |
prob2 |
upper probability |
Value
A list containing
mu |
mean of log-normal distribution |
sigma |
variance of log-normal distribution |
Author(s)
Jon Wakefield
Examples
# Calibrate the log-normal distribution s.t. the 95% confidence interval is [0.2, 5]
param <- LogNormalPriorCh(0.2, 5, 0.025, 0.975)
curve(dlnorm(x,param$mu,param$sigma), from=0, to=6, ylab="density")
[Package SpatialEpi version 1.2.8 Index]