FcnsByCatMCandRisk

Monte Carlo Simulation and Risk Assessment

<p>The <span class="pkg">EnvStats</span> functions listed below are useful for performing Monte Carlo simulations 
  and risk assessment.</p>

 package

Graphical and statistical analyses of environmental data, with
focus on analyzing chemical concentrations and physical parameters, usually in
the context of mandated environmental monitoring.  Major environmental
statistical methods found in the literature and regulatory guidance documents,
with extensive help that explains what these methods do, how to use them,
and where to find them in the literature.  Numerous built-in data sets from
regulatory guidance documents and environmental statistics literature.  Includes
scripts reproducing analyses presented in the book "EnvStats:  An R Package for
Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4,
<https://link.springer.com/book/10.1007/978-1-4614-8456-1>).

Alexander Kowarik

EnvStats

Package for Environmental Statistics, Including US EPA Guidance

Steven P. Millard

FcnsByCatMCandRisk function

EnvStats Functions for Monte Carlo Simulation and Risk Assessment — FcnsByCatMCandRisk

EnvStats Functions for Monte Carlo Simulation and Risk Assessment

Function Name	Description
Empirical	Empirical distribution based on a set of observations.
`simulateVector`	Simulate a vector of random numbers from a specified theoretical
	probability distribution or empirical probability distribution
	using either Latin hypercube sampling or simple random sampling.
`simulateMvMatrix`	Simulate a multivariate matrix of random numbers from specified
	theoretical probability distributions and/or empirical probability
	distributions based on a specified rank correlation matrix, using
	either Latin hypercube sampling or simple random sampling.

FcnsByCatMCandRisk: EnvStats Functions for Monte Carlo Simulation and Risk Assessment

Description

Arguments

Details