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Published June 6, 2023 | Version v0.7.0
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simstudy: 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).

Notes

To cite package "simstudy" in publications use:

Files

kgoldfeld/simstudy-v0.7.0.zip

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