Tools for Two-Dimensional Monte-Carlo Simulations

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Documentation for package ‘mc2d’ version 0.2.2

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

Help Pages

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

mc2d-package

mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

-- A --

addvar

Utilities for Multivariate Nodes

-- B --

bernoulli	The Bernoulli Distribution
betagen	The Generalised Beta Distribution
BetaSubjective	The BetaSubjective Distribution

-- C --

converg	Graph of Running Statistics for Convergence Diagnostics
cornode	Build a Rank Correlation Using the Iman and Conover Method

-- D --

dbern	The Bernoulli Distribution
dbetagen	The Generalised Beta Distribution
dbetasubj	The BetaSubjective 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.
dmqi	Minimum Quantile Information Distribution
dmultinomial	The Vectorized Multinomial Distribution
dmultinormal	The Vectorized Multivariate Normal Distribution
dpert	The (Modified) PERT Distribution
dtriang	The Triangular Distribution

-- E --

ec	An example 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

-- G --

gghist	Histogram of a Monte Carlo Simulation (ggplot version)
gghist.mc	Histogram of a Monte Carlo Simulation (ggplot version)
gghist.mcnode	Histogram of a Monte Carlo Simulation (ggplot version)
ggplotmc	ggplotmc
ggplotmc.mc	ggplotmc
ggplotmc.mcnode	ggplotmc
ggspaghetti	Spaghetti Plot of 'mc' or 'mcnode' Object
ggspaghetti.mc	Spaghetti Plot of 'mc' or 'mcnode' Object
ggspaghetti.mcnode	Spaghetti Plot of 'mc' or 'mcnode' Object
ggtornado	Draws a Tornado chart as provided by tornado (ggplot version).
ggtornadounc	Draws a Tornado chart as provided by tornado (ggplot version).

-- 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	Dimension of mcnode and mc Objects
is.mcnode	Dimension of mcnode and mc 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
mc2d	mc2d: Tools for Two-Dimensional Monte-Carlo 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
mcdatanocontrol	Build mcnode Objects from Data
mcmodel	Specify a Monte Carlo Model
mcmodelcut	Evaluates a Two-Dimensional Monte Carlo Model in a Loop
mcnode	Build mcnode Objects from Data
mcprobtree	Creates a Stochastic mcnode Object Using a Probability Tree
mcratio	Ratio of Uncertainty to Variability
mcstoc	Creates Stochastic mcnode Objects
MinimumQuantileInformation	Minimum Quantile Information Distribution
modEC1	An example on Escherichia coli in ground beef
modEC2	An example on Escherichia coli in ground beef
multinormal	The Vectorized Multivariate Normal Distribution

-- 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	Changes the Output of Nodes

-- P --

pbern	The Bernoulli Distribution
pbetagen	The Generalised Beta Distribution
pbetasubj	The BetaSubjective 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	Evaluates a Two-Dimensional Monte Carlo Model in a Loop
plot.mcnode	Plots Results of a Monte Carlo Simulation
plot.plotmc	Plots Results of a Monte Carlo Simulation
plot.tornado	Draw a Tornado Chart
plot.tornadounc	Draw a Tornado Chart
pmax	Parallel Maxima and Minima for mcnodes
pmax.default	Parallel Maxima and Minima for mcnodes
pmax.mcnode	Parallel Maxima and Minima for mcnodes
pmin	Parallel Maxima and Minima for mcnodes
pmin.default	Parallel Maxima and Minima for mcnodes
pmin.mcnode	Parallel Maxima and Minima for mcnodes
pmqi	Minimum Quantile Information Distribution
ppert	The (Modified) PERT Distribution
print.mc	Print a mcnode or mc Object
print.mccut	Evaluates a Two-Dimensional Monte Carlo Model in a Loop
print.mcnode	Print a mcnode or mc Object
print.summary.mc	Summary of mcnode and mc Object
print.tornado	Computes Correlation Between Inputs and Output in the Variability Dimension (Tornado)
print.tornadounc	Computes Correlation Between Inputs and Output in the Uncertainty Dimension (Tornado)
ptriang	The Triangular Distribution

-- Q --

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

-- R --

rbern	The Bernoulli Distribution
rbetagen	The Generalised Beta Distribution
rbetasubj	The BetaSubjective 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.
rmqi	Minimum Quantile Information Distribution
rmultinomial	The Vectorized Multinomial Distribution
rmultinormal	The Vectorized Multivariate Normal Distribution
rpert	The (Modified) PERT Distribution
rtriang	The Triangular Distribution
rtrunc	Random Truncated Distributions

-- S --

spaghetti	Spaghetti Plot of mc/mcnode Object
spaghetti.mc	Spaghetti Plot of mc/mcnode Object
spaghetti.mcnode	Spaghetti Plot of mc/mcnode Object
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 the Variability Dimension (Tornado)
tornadounc	Computes Correlation Between Inputs and Output in the Uncertainty Dimension (Tornado)
tornadounc.default	Computes Correlation Between Inputs and Output in the Uncertainty Dimension (Tornado)
tornadounc.mc	Computes Correlation Between Inputs and Output in the Uncertainty Dimension (Tornado)
tornadounc.mccut	Computes Correlation Between Inputs and Output in the Uncertainty Dimension (Tornado)
total	An Example of all Kind of mcnode
triangular	The Triangular Distribution
typemcnode	Dimension of mcnode and mc Objects

-- U --

unmc	Unclass the mc or mcnode Object

-- X --

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