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
------------------------------------------------------------
This email message, including any attachments, is for the sole use of the
intended recipient(s) and may contain information that is proprietary,
confidential, and exempt from disclosure under applicable law. Any unauthorized
review, use, disclosure, or distribution is prohibited. If you have received
this email in error please notify the sender by return email and delete the
original message. Please note, the recipient should check this email and any
attachments for the presence of viruses. The organization accepts no liability
for any damage caused by any virus transmitted by this email.
=================================
[[alternative HTML version deleted]]
_______________________________________________
R-packages mailing list
r-packa...@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
