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simstudy (version 0.9.0)

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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Install

install.packages('simstudy')

Monthly Downloads

7,050

Version

0.9.0

License

GPL-3

Issues

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Repository

https://github.com/kgoldfeld/simstudy

Homepage

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

Maintainer

Keith Goldfeld

Last Published

October 6th, 2025

Functions in simstudy (0.9.0)

Definitions for missing data

Generate Categorical Formula

Add synthetic data to existing data set

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

Add multiple (similar) rows to definitions table

Distributions for Data Definitions

Generate Categorical Formula

Simulate clustered data

Calling function to simulate data

gammaGetShapeRate

Convert gamma mean and dispersion parameters to shape and rate parameters

Generate correlated ordinal categorical data

Add single row to survival definitions

blockExchangeMat

Create a block correlation matrix with exchangeable structure

Generate Mixture Formula

Read external csv data set definitions for adding columns

Create multivariate (correlated) data - for general distributions

Create a correlation matrix

Delete columns from existing data set

Read external csv data set definitions for adding columns

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

Generate data from a density defined by a vector of integers

Generate spline curves

Create dummy variables from a factor or integer variable

Generate multi-factorial data

Generate a linear formula

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

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

Create correlated data

Generate survival data

Generate ordinal categorical data

Create multivariate (correlated) data - for general distributions

Generate Markov chain

Generate missing data

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

Mark parameters as grouped

Generate synthetic data

Plot spline curves

Plot basis spline functions

Plot survival curves

Get survival curve parameters

simstudy-deprecated

Deprecated functions in simstudy

Update definition table

Update definition table

simstudy-package

simstudy: Simulation of Study Data

Create an observed data set that includes missing data

Assign treatment

Trim longitudinal data file once an event has occurred

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

Merge two data.tables without modifying inputs

negbinomGetSizeProb

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

Assign treatment for stepped-wedge design

Create list of parameter scenarios

Observed exposure or treatment

Add Markov chain

Create multivariate (correlated) data - for general distributions

Add multi-factorial data

Add data from a density defined by a vector of integers

Create multivariate (correlated) data - for general distributions

Add columns to existing data set

Add correlated data to existing data.table

Create longitudinal/panel data

Generating single competing risk survival variable

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

Convert beta mean and precision parameters to two shape parameters

Read external csv data set definitions

Add single row to definitions table

Create a block correlation matrix

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