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simstudy (version 0.9.1)

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

1,919

Version

0.9.1

License

GPL-3

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Repository

https://github.com/kgoldfeld/simstudy

Homepage

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

Maintainer

Keith Goldfeld

Last Published

December 16th, 2025

Functions in simstudy (0.9.1)

Generate Categorical Formula

Convert beta mean and precision parameters to two shape parameters

Add multiple (similar) rows to definitions table

Read external csv data set definitions

Generate data from a density defined by a vector of integers

Distributions for Data Definitions

Generate Mixture Formula

Create dummy variables from a factor or integer variable

Generate Markov chain

Generate missing data

Create correlated data

Generate multi-factorial data

Create multivariate (correlated) data - for general distributions

gammaGetShapeRate

Convert gamma mean and dispersion parameters to shape and rate parameters

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

Add single row to survival definitions

Generate Categorical Formula

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

Delete columns from existing data set

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

Simulate clustered data

Create an observed data set that includes missing data

Generate correlated ordinal categorical data

Plot survival curves

Create multivariate (correlated) data - for general distributions

Merge two data.tables without modifying inputs

Create a correlation matrix

negbinomGetSizeProb

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

Get survival curve parameters

Read external csv data set definitions for adding columns

Update definition table

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

Read external csv data set definitions for adding columns

Assign treatment for stepped-wedge design

Observed exposure or treatment

Create list of parameter scenarios

Update definition table

Trim longitudinal data file once an event has occurred

Generate spline curves

Generate a linear formula

Generate ordinal categorical data

Generate synthetic data

Mark parameters as grouped

Calling function to simulate data

Generate survival data

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

Plot spline curves

Plot basis spline functions

simstudy-deprecated

Deprecated functions in simstudy

simstudy-package

simstudy: Simulation of Study Data

Assign treatment

Add columns to existing data set

Generating single competing risk survival variable

Add multi-factorial data

Add Markov chain

Add correlated data to existing data.table

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

Create multivariate (correlated) data - for general distributions

Create multivariate (correlated) data - for general distributions

Create longitudinal/panel data

Add data from a density defined by a vector of integers

Create a block correlation matrix

Add synthetic data to existing data set

Definitions for missing data

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

Add single row to definitions table

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

blockExchangeMat

Create a block correlation matrix with exchangeable structure