lnormal.params: Calculate the Log-Normal Mean and Standard Deviation Using...

In bayescount: Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC

Calculate the Log-Normal Mean and Standard Deviation Using the Normal Mean and Standard Deviation

Description

Function to calculate the equivalent values for the mean and standard deviation of a log-normal distribution from the mean and standard deviation of the normal distribution. Outputs from this function can be used with the dlnorm() function, and with the lognormal distribution in JAGS.

Usage

lnormal.params(mean, sd, coeff.variation)

Arguments

mean	either a single value or vector of values for the mean of the normal distribution.
sd	either a single value or vector of values for the standard deviation of the normal distribution. Ignored if values are supplied for coeff.variation.
coeff.variation	either a single value or vector of values for the coefficient of dispersion.

Value

A list with elements representing the mean of the lognormal distribution, the standard deviation of the lognormal distribution, and the coefficient of variation.

See Also

normal.params

Examples

mean <- 10
sd <- 2
lmean <- lnormal.params(mean,sd)[[1]]
lsd <- lnormal.params(mean,sd)[[2]]

curve(dnorm(x, mean, sd), from=0, to=20, col="blue")
curve(dlnorm(x, lmean, lsd), from=0, to=20, add=TRUE, col="red")

bayescount documentation built on June 22, 2024, 12:24 p.m.