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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