impl_error {metafolio}

Add implementation error

Description

Add implementation error with a beta distribution.

Usage

impl_error(mu, sigma_impl)

Arguments

mu

The mean

sigma_impl

Implementation error standard deviation

Value

A single numeric values representing a sample from a beta distribution with the specified mean and standard deviation.

References

Morgan, M. G. & Henrion, M. (1990). Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge University Press.

Pestes, L. R., Peterman, R. M., Bradford, M. J., and Wood, C. C. (2008). Bayesian decision analysis for evaluating management options to promote recovery of a depleted salmon population. 22(2):351-361.

http://stats.stackexchange.com/questions/12232/calculating-the-parameters-of-a-beta-distribution-using-the-mean-and-variance

Examples

y <- sapply(1:200, function(x) impl_error(0.5, 0.2))
hist(y)

y <- sapply(1:200, function(x) impl_error(0.3, 0.1))
hist(y)