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mc2d (version 0.1-17)

Tools for Two-Dimensional Monte-Carlo Simulations

Description

A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).

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Version

Install

install.packages('mc2d')

Monthly Downloads

3,942

Version

0.1-17

License

GPL (>= 2)

Maintainer

Regis Pouillot

Last Published

October 13th, 2016

Functions in mc2d (0.1-17)

dmultinomial

The Vectorized Multinomial Distribution
betagen

The Generalised Beta Distribution
converg

Graph of Running Statistics in the Variability or in the Uncertainty Dimension.
cornode

Builds a Rank Correlation using the Iman and Connover Method.
empiricalD

The Discrete Empirical Distribution
ec

An exemple on Escherichia coli in ground beef
dimmcnode

Dimension of mcnode and mc Objects
dirichlet

The Dirichlet Distribution
bernoulli

The Bernoulli Distribution
empiricalC

The Continuous Empirical Distribution
extractvar

Utilities for multivariate nodes
lhs

Random Latin Hypercube Sampling
mcapply

Apply Functions Over mc or mcnode Objects
mcmodel

Monte Carlo model
is.mc

Tests mc and mcnode Objects
mccut

Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
hist.mc

Histogram of a Monte Carlo Simulation
evalmcmod

Evaluates a Monte-Carlo model
mc

Monte Carlo Object
mc.control

Sets or Gets the Default Number of Simulations.
NA.mcnode

Finite, Infinite, NA and NaN Numbers in mcnode.
plot.tornado

Draws a Tornado chart.
mcnode

Build mcnode Objects from Data or other mcnode Objects
multinormal

The Vectorized Multivariate Random Deviates
plot.mc

Plots Results of a Monte Carlo Simulation
Ops.mcnode

Operations on mcnode Objects
mcprobtree

Creates a Stochastic mcnode Object using a Probability Tree
outm

Output of Nodes
pmin

Maxima and Minima for mcnodes
pert

The (Modified) PERT Distribution
summary.mc

Summary of mcnode and mc Object
total

An Exemple of all Kind of mcnode
unmc

Unclasses the mc or the mcnode Object
triangular

The Triangular Distribution
rtrunc

Random Truncated Distributions
print.mc

Prints a mcnode or a mc Object
tornadounc

Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
tornado

Computes Correlation between Inputs and Output in a mc Object (tornado) in the Variability Dimension;
typemcnode

Provides the Type of a mcnode Object
quantile.mc

Quantiles of a mc Object