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simstudy (version 0.8.1)

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

1,128

Version

0.8.1

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

July 29th, 2024

Functions in simstudy (0.8.1)

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

Delete columns from existing data set

Add synthetic data to existing data set

Add single row to survival definitions

Convert beta mean and precision parameters to two shape parameters

blockExchangeMat

Create a block correlation matrix with exchangeable structure

Simulate clustered data

Generate Categorical Formula

Generate Categorical Formula

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

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

Generate a linear formula

Create correlated data

Definitions for missing data

Generate correlated ordinal categorical data

Add correlated data to existing data.table

Read external csv data set definitions

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

Calling function to simulate data

Add multiple (similar) rows to definitions table

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

Read external csv data set definitions for adding columns

Add single row to definitions table

Distributions for Data Definitions

Create multivariate (correlated) data - for general distributions

Read external csv data set definitions for adding columns

Create multivariate (correlated) data - for general distributions

gammaGetShapeRate

Convert gamma mean and dispersion parameters to shape and rate parameters

Generate Mixture Formula

Create a correlation matrix

Generate ordinal categorical data

Generate Markov chain

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

Create dummy variables from a factor or integer variable

Generate data from a density defined by a vector of integers

Generate survival data

Generate synthetic data

Get survival curve parameters

Plot survival curves

Update definition table

Generate multi-factorial data

Update definition table

Assign treatment

Trim longitudinal data file once an event has occurred

Observed exposure or treatment

Generate spline curves

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

Generate missing data

simstudy-deprecated

Deprecated functions in simstudy

simstudy-package

simstudy: Simulation of Study Data

negbinomGetSizeProb

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

Merge two data tables

Create an observed data set that includes missing data

Plot basis spline functions

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

Assign treatment for stepped-wedge design

Plot spline curves

Add columns to existing data set

Add multi-factorial data

Create longitudinal/panel data

Create multivariate (correlated) data - for general distributions

Generating single competing risk survival variable

Add data from a density defined by a vector of integers

Add Markov chain

Create multivariate (correlated) data - for general distributions