SpatialEpi (version 1.1)

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:
  • mumean of log-normal distribution
  • sigmavariance of log-normal distribution

See Also

GammaPriorCh

Examples

Run this code
# 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")

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