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simstudy (version 0.9.2)

Simulation of Study Data

Description

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).

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Version

Install

install.packages('simstudy')

Monthly Downloads

980

Version

0.9.2

License

GPL-3

Issues

Pull Requests

Stars

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Repository

https://github.com/kgoldfeld/simstudy

Homepage

https://kgoldfeld.github.io/simstudy/

Maintainer

Keith Goldfeld

Last Published

February 9th, 2026

Functions in simstudy (0.9.2)

blockExchangeMat

Create a block correlation matrix with exchangeable structure

Create a block correlation matrix

Read external csv data set definitions for adding columns

gammaGetShapeRate

Convert gamma mean and dispersion parameters to shape and rate parameters

Distributions for Data Definitions

Add single row to definitions table that will be used to add data to an existing data.table

Add single row to definitions table

Generate correlated ordinal categorical data

Add multiple (similar) rows to definitions table that will be used to add data to an existing data.table

Add multiple (similar) rows to definitions table

Calling function to simulate data

Generate data from a density defined by a vector of integers

Create dummy variables from a factor or integer variable

Generate Categorical Formula

Create factor variable from an existing (non-double) variable

Simulate clustered data

Generate a linear formula

Create multivariate (correlated) data - for general distributions

Read external csv data set definitions for adding columns

Create correlated data

Create multivariate (correlated) data - for general distributions

Create an observed data set that includes missing data

Create a correlation matrix

Generate event data using longitudinal data, and restrict output to time until the nth event.

Add single row to survival definitions

Delete columns from existing data set

Generate missing data

Generate Markov chain

Generate survival data

Generate ordinal categorical data

Generate spline curves

simstudy-deprecated

Deprecated functions in simstudy

Plot survival curves

Get survival curve parameters

Generate synthetic data

Merge two data.tables without modifying inputs

Determine intercept, treatment/exposure and covariate coefficients that can be used for binary data generation with a logit link and a set of covariates

Generate Mixture Formula

Update definition table

Generate multi-factorial data

Assign treatment

Create list of parameter scenarios

Trim longitudinal data file once an event has occurred

Update definition table

negbinomGetSizeProb

Convert negative binomial mean and dispersion parameters to size and prob parameters

Mark parameters as grouped

Generate variance for random effects that produce desired intra-class coefficients (ICCs) for clustered data.

simstudy-package

simstudy: Simulation of Study Data

Assign treatment for stepped-wedge design

Observed exposure or treatment

Plot basis spline functions

Plot spline curves

Add multi-factorial data

Generating single competing risk survival variable

Add a single column to existing data set based on a condition

Add data from a density defined by a vector of integers

Add columns to existing data set

Create longitudinal/panel data

Create multivariate (correlated) data - for general distributions

Create multivariate (correlated) data - for general distributions

Add Markov chain

Add correlated data to existing data.table

Definitions for missing data

Add synthetic data to existing data set

Add single row to definitions table of conditions that will be used to add data to an existing definitions table

Read external csv data set definitions

Generate Categorical Formula

Convert beta mean and precision parameters to two shape parameters