Real-time latin-hypercube-sampling-based Monte Carlo Error Propagation
mcerp is a stochastic calculator for Monte Carlo methods that uses
latin-hypercube sampling
to perform non-order specific error propagation
(or uncertainty analysis).
With this package you can easily and transparently track the effects
of uncertainty through mathematical calculations. Advanced mathematical
functions, similar to those in the standard math
module, and statistical functions like those in the scipy.stats
module, can also be evaluated directly.
If you are familiar with Excel-based risk analysis programs like @Risk, Crystal Ball, ModelRisk, etc., this package will work wonders for you (and probably even be faster!) and give you more modelling flexibility with the powerful Python language. This package also doesn't cost a penny, compared to those commercial packages which cost thousands of dollars for a single-seat license. Feel free to copy and redistribute this package as much as you desire!
