| 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]