simstudy
Simulation of Study Data
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).
- GitHub
- https://kgoldfeld.github.io/simstudy/
- https://kgoldfeld.github.io/simstudy/dev/
- File a bug report
- simstudy results
- simstudy.pdf
- Version0.8.1
- R version≥ 3.3.0
- LicenseGPL-3
- Needs compilation?Yes
- simstudy citation info
- Last release07/29/2024
Documentation
- VignetteClustered Data
- VignetteCorrelation Matrices
- VignetteCorrelated Data
- VignetteCustomized Distributions
- VignetteDynamic Data Definition
- VignetteTargeted logistic model coefficients
- VignetteLongitudinal Data
- VignetteMissing Data
- VignetteOrdinal Categorical Data
- VignetteSimulating Study Data
- VignetteSpline Data
- VignetteSurvival Data
- VignetteTreatment and Exposure
Team
Keith Goldfeld
Jacob Wujciak-Jens
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Dependencies
- Depends1 package
- Imports7 packages
- Suggests25 packages
- Linking To3 packages
- Reverse Imports1 package
- Reverse Suggests2 packages