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).

Documentation

Manual: simstudy.pdf
Vignette: Simulating study data

Maintainer: Keith Goldfeld <Keith.Goldfeld at nyumc.org>

Author(s): Keith Goldfeld*

Install package and any missing dependencies by running this line in your R console:

install.packages("simstudy")

Depends R (>= 3.2.2), data.table
Imports Rcpp, mvnfast
Suggests testthat, knitr, rmarkdown, ggplot2, scales, grid, gridExtra, survival, gee
Enhances
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Package simstudy
Materials
URL
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Version 0.1.3
Published 2017-07-03
License GPL-3
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks simstudy check results
Package source simstudy_0.1.3.tar.gz