# Tools for Two-Dimensional Monte-Carlo Simulations

## Documentation for package ‘mc2d’ version 0.1-21

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C D E H I L M N O P Q R S T U X

## -- A --

addvar | Utilities for multivariate nodes

## -- B --

bernoulli | The Bernoulli Distribution
betagen | The Generalised Beta Distribution

## -- C --

converg | Graph of Running Statistics in the Variability or in the Uncertainty Dimension.
cornode | Builds a Rank Correlation using the Iman and Conover Method.

## -- D --

dbern | The Bernoulli Distribution
dbetagen | The Generalised Beta Distribution
ddirichlet | The Dirichlet Distribution
dempiricalC | The Continuous Empirical Distribution
dempiricalD | The Discrete Empirical Distribution
dimmc | Dimension of mcnode and mc Objects
dimmcnode | Dimension of mcnode and mc Objects
dirichlet | The Dirichlet Distribution
dlnormb | The Log Normal Distribution parameterized through its mean and standard deviation.
dmultinomial | The Vectorized Multinomial Distribution
dmultinormal | The Vectorized Multivariate Random Deviates
dpert | The (Modified) PERT Distribution
dtriang | The Triangular Distribution

## -- E --

ec | An exemple on Escherichia coli in ground beef
empiricalC | The Continuous Empirical Distribution
empiricalD | The Discrete Empirical Distribution
evalmccut | Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
evalmcmod | Evaluates a Monte-Carlo model
extractvar | Utilities for multivariate nodes

## -- H --

hist.mc | Histogram of a Monte Carlo Simulation
hist.mcnode | Histogram of a Monte Carlo Simulation

## -- I --

is.finite.mcnode | Finite, Infinite, NA and NaN Numbers in mcnode.
is.infinite.mcnode | Finite, Infinite, NA and NaN Numbers in mcnode.
is.mc | Tests mc and mcnode Objects
is.mcnode | Tests mc and mcnode Objects
is.na.mcnode | Finite, Infinite, NA and NaN Numbers in mcnode.
is.nan.mcnode | Finite, Infinite, NA and NaN Numbers in mcnode.

## -- L --

lhs | Random Latin Hypercube Sampling
Lognormalb | The Log Normal Distribution parameterized through its mean and standard deviation.

## -- M --

mc | Monte Carlo Object
mc.control | Sets or Gets the Default Number of Simulations.
mcapply | Apply Functions Over mc or mcnode Objects
mccut | Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
mcdata | Build mcnode Objects from Data or other mcnode Objects
mcdatanocontrol | Build mcnode Objects from Data or other mcnode Objects
mcmodel | Monte Carlo model
mcmodelcut | Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
mcnode | Build mcnode Objects from Data or other mcnode Objects
mcprobtree | Creates a Stochastic mcnode Object using a Probability Tree
mcratio | Ratio of uncertainty and the variability
mcstoc | Creates Stochastic mcnode Objects
modEC1 | An exemple on Escherichia coli in ground beef
modEC2 | An exemple on Escherichia coli in ground beef
multinormal | The Vectorized Multivariate Random Deviates

## -- N --

NA.mcnode | Finite, Infinite, NA and NaN Numbers in mcnode.
ndunc | Sets or Gets the Default Number of Simulations.
ndvar | Sets or Gets the Default Number of Simulations.

## -- O --

Ops.mcnode | Operations on mcnode Objects
outm | Output of Nodes

## -- P --

pbern | The Bernoulli Distribution
pbetagen | The Generalised Beta Distribution
pempiricalC | The Continuous Empirical Distribution
pempiricalD | The Discrete Empirical Distribution
pert | The (Modified) PERT Distribution
plnormb | The Log Normal Distribution parameterized through its mean and standard deviation.
plot.mc | Plots Results of a Monte Carlo Simulation
plot.mccut | Plots Results of a Monte Carlo Simulation
plot.mcnode | Plots Results of a Monte Carlo Simulation
plot.plotmc | Plots Results of a Monte Carlo Simulation
plot.tornado | Draws a Tornado chart.
plot.tornadounc | Draws a Tornado chart.
pmax | Maxima and Minima for mcnodes
pmax.default | Maxima and Minima for mcnodes
pmax.mcnode | Maxima and Minima for mcnodes
pmin | Maxima and Minima for mcnodes
pmin.default | Maxima and Minima for mcnodes
pmin.mcnode | Maxima and Minima for mcnodes
ppert | The (Modified) PERT Distribution
print.mc | Prints a mcnode or a mc Object
print.mccut | Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
print.mcnode | Prints a mcnode or a mc Object
print.summary.mc | Summary of mcnode and mc Object
print.tornado | Computes Correlation between Inputs and Output in a mc Object (tornado) in the Variability Dimension;
print.tornadounc | Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
ptriang | The Triangular Distribution

## -- Q --

qbern | The Bernoulli Distribution
qbetagen | The Generalised Beta Distribution
qempiricalC | The Continuous Empirical Distribution
qempiricalD | The Discrete Empirical Distribution
qlnormb | The Log Normal Distribution parameterized through its mean and standard deviation.
qpert | The (Modified) PERT Distribution
qtriang | The Triangular Distribution
quantile.mc | Quantiles of a mc Object
quantile.mcnode | Quantiles of a mc Object

## -- R --

rbern | The Bernoulli Distribution
rbetagen | The Generalised Beta Distribution
rdirichlet | The Dirichlet Distribution
rempiricalC | The Continuous Empirical Distribution
rempiricalD | The Discrete Empirical Distribution
rlnormb | The Log Normal Distribution parameterized through its mean and standard deviation.
rmultinomial | The Vectorized Multinomial Distribution
rmultinormal | The Vectorized Multivariate Random Deviates
rpert | The (Modified) PERT Distribution
rtriang | The Triangular Distribution
rtrunc | Random Truncated Distributions

## -- S --

summary.mc | Summary of mcnode and mc Object
summary.mccut | Summary of mcnode and mc Object
summary.mcnode | Summary of mcnode and mc Object

## -- T --

tornado | Computes Correlation between Inputs and Output in a mc Object (tornado) in the Variability Dimension;
tornadounc | Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
tornadounc.default | Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
tornadounc.mc | Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
tornadounc.mccut | Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
total | An Exemple of all Kind of mcnode
triangular | The Triangular Distribution
typemcnode | Provides the Type of a mcnode Object

## -- U --

unmc | Unclasses the mc or the mcnode Object

## -- X --

x0 | An Exemple of all Kind of mcnode
x0M | An Exemple of all Kind of mcnode
xU | An Exemple of all Kind of mcnode
xUM | An Exemple of all Kind of mcnode
xV | An Exemple of all Kind of mcnode
xVM | An Exemple of all Kind of mcnode
xVU | An Exemple of all Kind of mcnode
xVUM | An Exemple of all Kind of mcnode
xVUM2 | An Exemple of all Kind of mcnode
xVUM3 | An Exemple of all Kind of mcnode