Package: SimDesign 2.25

SimDesign: Structure for Organizing Monte Carlo Simulation Designs

Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.

Authors:Phil Chalmers [aut, cre], Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Rönkkö [aut], Moritz Ketzer [ctb]

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SimDesign.pdf |SimDesign.html✨
SimDesign/json (API)
NEWS

# Install 'SimDesign' in R:

install.packages('SimDesign', repos = c('https://philchalmers.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/philchalmers/simdesign/issues

Pkgdown/docs site:https://philchalmers.github.io

Datasets:

BF_sim - Example simulation from Brown and Forsythe
BF_sim_alternative -

On CRAN:

monte-carlo-simulation simulation simulation-framework

13.93 score 64 stars 52 packages 452 scripts 8.8k downloads 4 mentions 72 exports 57 dependencies

Last updated from:e342c3762b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	177
source / vignettes	OK	272
linux-release-x86_64	OK	171
macos-release-arm64	OK	198
macos-oldrel-arm64	OK	197
windows-devel	OK	137
windows-release	OK	174
windows-oldrel	OK	151
wasm-release	OK	152

Exports:add_missing addMissing aggregate_simulations AnalyseIf Attach bias boot_predict bootPredict Bradley1978 CC clusterSetRNGSubStream colSDs colVars createDesign descript ECR EDR ERR expandDesign expandReplications GenerateIf genSeeds get_descriptFuns getArrayID group_by IRMSE listAvailableNotifiers MAE manageMessages manageWarnings MSRSE nc new_PushbulletNotifier new_TelegramNotifier PBA quiet RAB rbindDesign RD RE rejectionSampling reSummarise rHeadrick rint rinvWishart rmgh RMSD RMSE rmvnorm rmvt RobbinsMonro RSE rtruncate runArraySimulation runSimulation rValeMaurelli select Serlin2000 SFA SimAnova SimCheck SimClean SimCollect SimErrors SimExtract SimFunctions SimRead SimResults SimShiny SimSolve SimWarnings timeFormater

Dependencies:audio beepr brio callr class cli clipr codetools crayon desc diffobj digest dplyr e1071 evaluate fs future future.apply generics globals glue jsonlite lifecycle listenv magrittr MASS mirai nanonext parallelly pbapply pillar pkgbuild pkgconfig pkgload praise processx progressr proxy ps qs2 R.methodsS3 R.oo R.utils R6 Rcpp RcppParallel rlang rprojroot sessioninfo stringfish testthat tibble tidyselect utf8 vctrs waldo withr

Exporting objects and functions from the workspace

Phil Chalmers

Rendered fromFixed_obj_fun.Rmdusingknitr::rmarkdownon Mar 31 2026.

Last update: 2026-03-02
Started: 2017-10-25

Distributing jobs for high-performance computing (HPC) clusters (e.g., via Slurm)

Phil Chalmers

Rendered fromHPC-computing.Rmdusingknitr::rmarkdownon Mar 31 2026.

Last update: 2026-03-02
Started: 2024-04-04

Introduction to the SimDesign package

Phil Chalmers

Rendered fromSimDesign-intro.Rmdusingknitr::rmarkdownon Mar 31 2026.

Last update: 2026-03-27
Started: 2017-10-25

Managing warning and error messages

Phil Chalmers

Rendered fromCatch_errors.Rmdusingknitr::rmarkdownon Mar 31 2026.

Last update: 2026-03-30
Started: 2017-10-25

Multiple analysis functions

Phil Chalmers

Rendered fromMultipleAnalyses.Rmdusingknitr::rmarkdownon Mar 31 2026.

Last update: 2025-07-09
Started: 2021-07-29

Parallel computing information

Phil Chalmers

Rendered fromParallel-computing.Rmdusingknitr::rmarkdownon Mar 31 2026.

Last update: 2026-03-27
Started: 2018-05-15

Saving simulation results and state

Phil Chalmers

Rendered fromSaving-results.Rmdusingknitr::rmarkdownon Mar 31 2026.

Last update: 2026-03-01
Started: 2017-10-25

Help page	Topics
Add missing values to a vector given a MCAR, MAR, or MNAR scheme	addMissing add_missing
Compute estimates and statistics	Analyse
Perform a test that indicates whether a given 'Analyse()' function should be executed	AnalyseIf
Attach objects for easier reference	Attach
Example simulation from Brown and Forsythe (1974)	BF_sim
(Alternative) Example simulation from Brown and Forsythe (1974)	BF_sim_alternative
Compute (relative/standardized) bias summary statistic	bias
Compute prediction estimates for the replication size using bootstrap MSE estimates	bootPredict boot_predict
Bradley's (1978) empirical robustness interval	Bradley1978
Compute congruence coefficient	CC
Set RNG sub-stream for Pierre L'Ecuyer's RngStreams	clusterSetRNGSubStream
Form Column Standard Deviation and Variances	colSDs colVars
Create the simulation design object	createDesign print.Design rbindDesign [.Design
Compute univariate descriptive statistics	descript get_descriptFuns
Compute empirical coverage rates	ECR
Compute the empirical detection/rejection rate for Type I errors and Power	EDR ERR
Expand the simulation design object for array computing	expandDesign
Expand the replications to match 'expandDesign'	expandReplications
Generate data	Generate
Perform a test that indicates whether a given 'Generate()' function should be executed	GenerateIf
Generate random seeds	genSeeds gen_seeds
Get job array ID (e.g., from SLURM or other HPC array distributions)	getArrayID
Compute the integrated root mean-square error	IRMSE
List All Available Notifiers	listAvailableNotifiers
Compute the mean absolute error	MAE
Increase the intensity or suppress the output of an observed message	manageMessages
Manage specific warning messages	manageWarnings
Compute the relative performance behavior of collections of standard errors	MSRSE
Auto-named Concatenation of Vector or List	nc
Create a Pushbullet Notifier	new_PushbulletNotifier
Create a Telegram Notifier	new_TelegramNotifier
Probabilistic Bisection Algorithm	PBA plot.PBA print.PBA
Suppress verbose function messages	quiet
Compute the relative absolute bias of multiple estimators	RAB
Combine two separate SimDesign objects by row	rbind.SimDesign
Compute the relative difference	RD
Compute the relative efficiency of multiple estimators	RE
Rejection sampling (i.e., accept-reject method)	rejectionSampling
Run a summarise step for results that have been saved to the hard drive	reSummarise
Generate non-normal data with Headrick's (2002) method	rHeadrick
Generate integer values within specified range	rint
Generate data with the inverse Wishart distribution	rinvWishart
Generate data with the multivariate g-and-h distribution	rmgh
Compute the (normalized) root mean square error	RMSD RMSE
Generate data with the multivariate normal (i.e., Gaussian) distribution	rmvnorm
Generate data with the multivariate t distribution	rmvt
Robbins-Monro (1951) stochastic root-finding algorithm	plot.RM print.RM RobbinsMonro
Compute the relative standard error ratio	RSE
Generate a random set of values within a truncated range	rtruncate
Run a Monte Carlo simulation using array job submissions per condition	runArraySimulation
Run a Monte Carlo simulation given conditions and simulation functions	print.SimDesign runSimulation summary.SimDesign
Generate non-normal data with Vale & Maurelli's (1983) method	rValeMaurelli
Empirical detection robustness method suggested by Serlin (2000)	Serlin2000
Surrogate Function Approximation via the Generalized Linear Model	print.SFA SFA
Decompose the simulation into ANOVA-based effects	SimAnova
Check for missing files in array simulations	SimCheck
Removes/cleans files and folders that have been saved	SimClean
Collapse separate simulation files into a single result	aggregate_simulations SimCollect
Structure for Organizing Monte Carlo Simulation Designs	SimDesign-package SimDesign
Extract Simulation Errors	SimErrors
Extract extra information from SimDesign objects	SimExtract
Template-based generation of the Generate-Analyse-Summarise functions	SimFunctions
Read simulation files	SimRead
Read in saved simulation results	SimResults
Generate a basic Monte Carlo simulation GUI template	SimShiny
One Dimensional Root (Zero) Finding in Simulation Experiments	plot.SimSolve SimSolve summary.SimSolve
Extract Simulation Warnings	SimWarnings
Summarise simulated data using various population comparison statistics	Summarise
Format time string to suitable numeric output	timeFormater

Package: SimDesign 2.25

SimDesign: Structure for Organizing Monte Carlo Simulation Designs

Exporting objects and functions from the workspace

Distributing jobs for high-performance computing (HPC) clusters (e.g., via Slurm)

Introduction to the SimDesign package

Managing warning and error messages

Multiple analysis functions

Parallel computing information

Saving simulation results and state

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)