SpatialEpi (version 1.2.3)

LogNormalPriorCh: 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

See Also

GammaPriorCh

Examples

# NOT RUN {
# 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")
# }