FcnsByCatMCandRisk: EnvStats Functions for Monte Carlo Simulation and Risk...
In EnvStats: Package for Environmental Statistics, Including US EPA Guidance
FcnsByCatMCandRisk R Documentation
EnvStats Functions for Monte Carlo Simulation and Risk Assessment
Description
The EnvStats functions listed below are useful for performing Monte Carlo simulations
and risk assessment.
Details
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.
EnvStats documentation built on Sept. 11, 2024, 6:03 p.m.
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| FcnsByCatMCandRisk | R Documentation |
EnvStats Functions for Monte Carlo Simulation and Risk Assessment
Description
The EnvStats functions listed below are useful for performing Monte Carlo simulations and risk assessment.
Details
| 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. | |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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