[R-pkgs] New package: simstudy

[Goldfeld, Keith]

Greetings –

A new package “simstudy” is now available on CRAN. What started as a small number of functions that enabled me to quickly generate simple data sets for teaching and power/sample size calculations has grown into a more robust set of tools that allows users to simulate more complex data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates in table form (the table can be built interactively or created externally as a csv file), and generates data based on these specifications. The final data sets can represent data from randomized control trials, observed (non-randomized) studies, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR). Currently, data can be generated from normal/Gaussian, binary, Poisson, truncated Poisson, Gamma, and uniform distributions. Survival data can also be generated.

I will be adding functionality over time, and will be particularly interested in knowing what userRs would be interested in having me add. I look forward to hearing your comments.

- Keith


Keith Goldfeld
Department of Population Health
School of Medicine, New York University
227 East 30th Street, 6th Floor
New York, NY  10016


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