Package: mc2d 0.2.1

Regis Pouillot

mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

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).

Authors:Regis Pouillot [aut, cre], Marie-Laure Delignette-Muller [ctb], Jean-Baptiste Denis [ctb], Yu Chen [ctb], Arie Havelaar [ctb]

mc2d_0.2.1.tar.gz
mc2d_0.2.1.tar.gz(r-4.5-noble)mc2d_0.2.1.tar.gz(r-4.4-noble)
mc2d_0.2.1.tgz(r-4.4-emscripten)mc2d_0.2.1.tgz(r-4.3-emscripten)
mc2d.pdf |mc2d.html✨
mc2d/json (API)
NEWS

# Install 'mc2d' in R:
install.packages('mc2d', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • ec - An example on Escherichia coli in ground beef
  • total - An Example of all Kind of mcnode
  • 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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7.84 score 1 stars 15 packages 342 scripts 4.5k downloads 18 mentions 116 exports 69 dependencies

Last updated 6 months agofrom:85db1299be. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxOKNov 03 2024

Exports:addvarconvergcornodedberndbetagendbetasubjddirichletdempiricalCdempiricalDdimmcdimmcnodedlnormbdmqidmultinomialdmultinormaldpertdtriangevalmccutevalmcmodextractvargghistgghist.mcgghist.mcnodeggplotmcggplotmc.mcggplotmc.mcnodeggspaghettiggspaghetti.mcggspaghetti.mcnodeggtornadohist.mchist.mcnodeis.finite.mcnodeis.infinite.mcnodeis.mcis.mcnodeis.na.mcnodeis.nan.mcnodelhsmcmcapplymcdatamcdatanocontrolmcmodelmcmodelcutmcprobtreemcratiomcstocnduncndvarOps.mcnodeoutmpbernpbetagenpbetasubjpempiricalCpempiricalDplnormbplot.mcplot.mccutplot.mcnodeplot.plotmcplot.tornadoplot.tornadouncpmaxpmax.defaultpmax.mcnodepminpmin.defaultpmin.mcnodepmqippertprint.mcprint.mccutprint.mcnodeprint.summary.mcprint.tornadoprint.tornadouncptriangqbernqbetagenqbetasubjqempiricalCqempiricalDqlnormbqmqiqpertqtriangquantile.mcquantile.mcnoderbernrbetagenrbetasubjrdirichletrempiricalCrempiricalDrlnormbrmqirmultinomialrmultinormalrpertrtriangrtruncspaghettispaghetti.mcspaghetti.mcnodesummary.mcsummary.mccutsummary.mcnodetornadotornadounctornadounc.defaulttornadounc.mctornadounc.mccuttypemcnodeunmc

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

A Manual for mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

Rendered fromdocmcEnglish.Rnwusingutils::Sweaveon Nov 03 2024.

Last update: 2023-07-17
Started: 2011-11-14

Case study: L. monocytogenes in cold-smoked salmon

Rendered frommc2dLmEnglish.rnwusingutils::Sweaveon Nov 03 2024.

Last update: 2023-07-17
Started: 2011-11-14

Readme and manuals

Help Manual

Help pageTopics
The Bernoulli Distributionbernoulli dbern pbern qbern rbern
The Generalised Beta Distributionbetagen dbetagen pbetagen qbetagen rbetagen
The BetaSubjective DistributionBetaSubjective dbetasubj pbetasubj qbetasubj rbetasubj
Graph of Running Statistics in the Variability or in the Uncertainty Dimension.converg
Builds a Rank Correlation using the Iman and Conover Method.cornode
Dimension of mcnode and mc Objectsdimmc dimmcnode
The Dirichlet Distributionddirichlet dirichlet rdirichlet
The Vectorized Multinomial Distributiondmultinomial rmultinomial
An example on Escherichia coli in ground beefec modEC1 modEC2
The Continuous Empirical DistributiondempiricalC empiricalC pempiricalC qempiricalC rempiricalC
The Discrete Empirical DistributiondempiricalD empiricalD pempiricalD qempiricalD rempiricalD
Evaluates a Monte-Carlo modelevalmcmod
Utilities for multivariate nodesaddvar extractvar
Histogram of a Monte Carlo Simulation (ggplot version)gghist gghist.mc gghist.mcnode
ggplotmcggplotmc ggplotmc.mc ggplotmc.mcnode
Spaghetti Plot of `mc` or `mcnode` Objectggspaghetti ggspaghetti.mc ggspaghetti.mcnode
Draws a Tornado chart as provided by tornado (ggplot version).ggtornado ggtornadounc
Histogram of a Monte Carlo Simulationhist.mc hist.mcnode
Tests mc and mcnode Objectsis.mc is.mcnode
Random Latin Hypercube Samplinglhs
The Log Normal Distribution parameterized through its mean and standard deviation.dlnormb Lognormalb plnormb qlnormb rlnormb
Monte Carlo Objectmc
Sets or Gets the Default Number of Simulations.mc.control ndunc ndvar
Apply Functions Over mc or mcnode Objectsmcapply
Evaluates a Two-Dimensional Monte Carlo Model in a Loop.evalmccut mccut mcmodelcut print.mccut
Monte Carlo modelmcmodel
Build mcnode Objects from Data or other mcnode Objectsmcdata mcdatanocontrol mcnode
Creates a Stochastic mcnode Object using a Probability Treemcprobtree
Ratio of uncertainty and the variabilitymcratio
Creates Stochastic mcnode Objectsmcstoc
Minimum Quantile Information Distributiondmqi MinimumQuantileInformation pmqi qmqi rmqi
The Vectorized Multivariate Random Deviatesdmultinormal multinormal rmultinormal
Finite, Infinite, NA and NaN Numbers in mcnode.is.finite.mcnode is.infinite.mcnode is.na.mcnode is.nan.mcnode NA.mcnode
Operations on mcnode ObjectsOps.mcnode
Output of Nodesoutm
The (Modified) PERT Distributiondpert pert ppert qpert rpert
Plots Results of a Monte Carlo Simulationplot.mc plot.mccut plot.mcnode plot.plotmc
Draws a Tornado chart.plot.tornado plot.tornadounc
Maxima and Minima for mcnodespmax pmax.default pmax.mcnode pmin pmin.default pmin.mcnode
Prints a mcnode or a mc Objectprint.mc print.mcnode
Quantiles of a mc Objectquantile.mc quantile.mcnode
Random Truncated Distributionsrtrunc
Spaghetti Plot of mc/mcnode Objectspaghetti spaghetti.mc spaghetti.mcnode
Summary of mcnode and mc Objectprint.summary.mc summary.mc summary.mccut summary.mcnode
Computes Correlation between Inputs and Output in a mc Object (tornado) in the Variability Dimension;print.tornado tornado
Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimensionprint.tornadounc tornadounc tornadounc.default tornadounc.mc tornadounc.mccut
An Example of all Kind of mcnodetotal x0 x0M xU xUM xV xVM xVU xVUM xVUM2 xVUM3
The Triangular Distributiondtriang ptriang qtriang rtriang triangular
Provides the Type of a mcnode Objecttypemcnode
Unclasses the mc or the mcnode Objectunmc