impl_error: Add implementation error

In metafolio: Metapopulation Simulations for Conserving Salmon Through Portfolio Optimization

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)

metafolio documentation built on Oct. 21, 2023, 1:06 a.m.