Package: simstudy 0.9.2.9000

simstudy: Simulation of Study Data

Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).

Authors:Keith Goldfeld [aut, cre], Jacob Wujciak-Jens [aut]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
simstudy/json (API)

# Install 'simstudy' in R:

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

Bug tracker:https://github.com/kgoldfeld/simstudy/issues

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

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

data-generation data-simulation simulation statistical-models cpp

11.33 score 85 stars 2 packages 1.0k scripts 1.1k downloads 1 mentions 66 exports 16 dependencies

Last updated from:86b3002706. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	222
linux-devel-x86_64	OK	231
source / vignettes	OK	414
linux-release-arm64	OK	220
linux-release-x86_64	OK	231
macos-release-arm64	OK	160
macos-release-x86_64	OK	298
macos-oldrel-arm64	OK	148
macos-oldrel-x86_64	OK	303
windows-devel	OK	214
windows-release	OK	189
windows-oldrel	OK	157
wasm-release	OK	200

Exports:addColumns addCompRisk addCondition addCorData addCorFlex addCorGen addDataDensity addMarkov addMultiFac addPeriods addSynthetic betaGetShapes blockDecayMat blockExchangeMat catProbs defCondition defData defDataAdd defMiss defRead defReadAdd defReadCond defRepeat defRepeatAdd defSurv delColumns gammaGetShapeRate genCatFormula genCluster genCorData genCorFlex genCorGen genCorMat genCorOrdCat genCrossed genData genDataDensity genDummy genFactor genFormula genMarkov genMiss genMixFormula genMultiFac genNthEvent genObs genOrdCat genSpline genSurv genSynthetic grouped iccRE logisticCoefs mergeData negbinomGetSizeProb scenario_list survGetParams survParamPlot trimData trtAssign trtObserve trtStepWedge updateDef updateDefAdd viewBasis viewSplines

Dependencies:backports BH bigmemory bigmemory.sri data.table fastglm Formula glue lattice Matrix mvnfast pbv Rcpp RcppArmadillo RcppEigen uuid

Framework for repeated simulations

Introduction | The simulation framework | Specifying scenarios | Example: power analysis for a cluster-randomized trial

Rendered fromframework.Rmdusingknitr::rmarkdown

Last update: 2026-03-03
Started: 2025-10-05

Targeted logistic model coefficients

Prevalence | Finding the intercept | Risk ratios | Risk differences | AUC

Rendered fromlogisticCoefs.Rmdusingknitr::rmarkdown

Last update: 2025-12-15
Started: 2023-06-16

Simulating Study Data

Rendered fromsimstudy.Rmdusingknitr::rmarkdown

Last update: 2024-06-29
Started: 2016-02-05

Customized Distributions

Example 1 | Example 2

Rendered fromcustomdist.Rmdusingknitr::rmarkdown

Last update: 2024-05-13
Started: 2024-05-13

Clustered Data

Setting cluster sizes

Rendered fromclustered.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Rendered fromcorrelated.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Correlation Matrices

Rendered fromcorelationmat.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2023-02-16

Dynamic Data Definition

Updating existing definition tables | Double-dot external variable reference | Using non-scalar double-dot variable reference

Rendered fromdouble_dot_extension.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-10-05

Longitudinal Data

Longitudinal data with varying observation and interval times

Rendered fromlongitudinal.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Missing Data

Longitudinal data with missingness

Rendered frommissing.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Ordinal Categorical Data

Comparing response distributions of different populations | The cumulative proportional odds model | Simulation | Non-proportional odds | Correlated multivariate ordinal data

Rendered fromordinal.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Spline Data

Rendered fromspline.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Survival Data

Weibull distribution | Generating standard survival data with censoring | Competing risks | Introducing non-proportional hazards | Generating parameters for survival distribution

Rendered fromsurvival.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Treatment and Exposure

Assigned treatment | Assigned treatment using trtAssign distribution in defData | Observed treatment | Stepped-wedge design

Rendered fromtreat_and_exposure.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2020-09-25

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add columns to existing data set	addColumns
Generating single competing risk survival variable	addCompRisk
Add a single column to existing data set based on a condition	addCondition
Add correlated data to existing data.table	addCorData
Create multivariate (correlated) data - for general distributions	addCorFlex
Create multivariate (correlated) data - for general distributions	addCorGen
Add data from a density defined by a vector of integers	addDataDensity
Add Markov chain	addMarkov
Add multi-factorial data	addMultiFac
Create longitudinal/panel data	addPeriods
Add synthetic data to existing data set	addSynthetic
Convert beta mean and precision parameters to two shape parameters	betaGetShapes
Create a block correlation matrix	blockDecayMat
Create a block correlation matrix with exchangeable structure	blockExchangeMat
Add single row to definitions table of conditions that will be used to add data to an existing definitions table	defCondition
Add single row to definitions table	defData
Add single row to definitions table that will be used to add data to an existing data.table	defDataAdd
Definitions for missing data	defMiss
Read external csv data set definitions	defRead
Read external csv data set definitions for adding columns	defReadAdd
Read external csv data set definitions for adding columns	defReadCond
Add multiple (similar) rows to definitions table	defRepeat
Add multiple (similar) rows to definitions table that will be used to add data to an existing data.table	defRepeatAdd
Add single row to survival definitions	defSurv
Delete columns from existing data set	delColumns
Distributions for Data Definitions	beta binary binomial categorical clusterSize distributions exponential gamma mixture negBinomial nonrandom normal noZeroPoisson poisson uniform
Convert gamma mean and dispersion parameters to shape and rate parameters	gammaGetShapeRate
Generate Categorical Formula	genCatFormula
Simulate clustered data	genCluster
Create correlated data	genCorData
Create multivariate (correlated) data - for general distributions	genCorFlex
Create multivariate (correlated) data - for general distributions	genCorGen
Create a correlation matrix	genCorMat
Generate crossed data	genCrossed
Calling function to simulate data	genData
Generate data from a density defined by a vector of integers	genDataDensity
Create dummy variables from a factor or integer variable	genDummy
Create factor variable from an existing (non-double) variable	genFactor
Generate a linear formula	genFormula
Generate Markov chain	genMarkov
Generate missing data	genMiss
Generate Mixture Formula	genMixFormula
Generate multi-factorial data	genMultiFac
Generate event data using longitudinal data, and restrict output to time until the nth event.	genNthEvent
Create an observed data set that includes missing data	genObs
Generate ordinal categorical data	genOrdCat
Generate spline curves	genSpline
Generate survival data	genSurv
Generate synthetic data	genSynthetic
Mark parameters as grouped	grouped
Generate variance for random effects that produce desired intra-class coefficients (ICCs) for clustered data.	iccRE
Determine intercept, treatment/exposure and covariate coefficients that can be used for binary data generation with a logit link and a set of covariates	logisticCoefs
Merge two data.tables without modifying inputs	mergeData
Convert negative binomial mean and dispersion parameters to size and prob parameters	negbinomGetSizeProb
Create list of parameter scenarios	scenario_list
Deprecated functions in simstudy	simstudy-deprecated
Get survival curve parameters	survGetParams
Plot survival curves	survParamPlot
Trim longitudinal data file once an event has occurred	trimData
Assign treatment	trtAssign
Observed exposure or treatment	trtObserve
Assign treatment for stepped-wedge design	trtStepWedge
Update definition table	updateDef
Update definition table	updateDefAdd
Plot basis spline functions	viewBasis
Plot spline curves	viewSplines

Package: simstudy 0.9.2.9000

simstudy: Simulation of Study Data

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)