SMARTp (0.1.1)

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Sample Size for SMART Designs in Non-Surgical Periodontal Trials.

https://github.com/bandyopd/SMARTp
http://cran.r-project.org/web/packages/SMARTp

Sample size calculation to detect dynamic treatment regime (DTR) effects based on change in clinical attachment level (CAL) outcomes from a non-surgical chronic periodontitis treatments study. The experiment is performed under a Sequential Multiple Assignment Randomized Trial (SMART) design. The clustered tooth (sub-unit) level CAL outcomes are skewed, spatially-referenced, and non-randomly missing. The implemented algorithm is available in Xu et al. (2019+) .

Maintainer: Dipankar Bandyopadhyay
Author(s): Jing Xu, Dipankar Bandyopadhyay, Douglas Azevedo, Bibhas Chakraborty

License: LGPL (>= 2)

Uses: covr, mvtnorm, sn

Released 9 months ago.


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