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simstudy (version 0.7.0)

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

1,128

Version

0.7.0

License

GPL-3

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Repository

https://github.com/kgoldfeld/simstudy

Homepage

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

Maintainer

Keith Goldfeld

Last Published

June 1st, 2023

Functions in simstudy (0.7.0)

Generating single competing risk survival varible

Create longitudinal/panel data

Create multivariate (correlated) data - for general distributions

Create multivariate (correlated) data - for general distributions

Add correlated data to existing data.table

Add multi-factorial data

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

Add Markov chain

Add columns to existing data set

Add synthetic data to existing data set

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

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

Read external csv data set definitions

Convert beta mean and precision parameters to two shape parameters

Read external csv data set definitions for adding columns

blockExchangeMat

Create a block correlation matrix with exchangeable structure

Generate Categorical Formula

Definitions for missing data

Add single row to definitions table

gammaGetShapeRate

Convert gamma mean and dispersion parameters to shape and rate parameters

Read external csv data set definitions for adding columns

Add multiple (similar) rows to definitions table

Generate Categorical Formula

Generate Markov chain

Generate missing data

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

Add single row to survival definitions

Delete columns from existing data set

Distributions for Data Definitions

Generate correlated ordinal categorical data

Generate a linear formula

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

Create a correlation matrix

Create dummy variables from a factor or integer variable

Calling function to simulate data

Create multivariate (correlated) data - for general distributions

Create multivariate (correlated) data - for general distributions

Generate ordinal categorical data

Generate spline curves

Generate Mixture Formula

Generate multi-factorial data

Merge two data tables

Assign treatment for stepped-wedge design

Update definition table

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

simstudy-package

simstudy: Simulation of Study Data

simstudy-deprecated

Deprecated functions in simstudy

negbinomGetSizeProb

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

Create an observed data set that includes missing data

Observed exposure or treatment

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

Assign treatment

Plot spline curves

Get survival curve parameters

Plot basis spline functions

Update definition table

Create correlated data

Trim longitudinal data file once an event has occurred

Generate survival data

Plot survival curves

Generate synthetic data

Simulate clustered data