LogNormalPriorCh: Compute Parameters to Calibrate a Log-normal Distribution

In SpatialEpi: Methods and Data for Spatial Epidemiology

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")

SpatialEpi documentation built on March 7, 2023, 8 p.m.