Package: SMARTp
Type: Package
Title: Sample Size for SMART Designs in Non-Surgical Periodontal Trials
Version: 0.1.1
Author: Jing Xu, Dipankar Bandyopadhyay, Douglas Azevedo, Bibhas Chakraborty
Maintainer: Dipankar Bandyopadhyay <bandyopd@gmail.com>
Description: 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+) <arXiv:1902.09386>.
Depends: R (>= 3.5)
Imports: covr, sn (>= 1.5), mvtnorm (>= 1.0), stats, methods
URL: https://github.com/bandyopd/SMARTp
License: LGPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-16 16:32:55 UTC; douglas
Repository: CRAN
Date/Publication: 2019-05-17 07:10:04 UTC
Built: R 4.6.0; ; 2026-04-26 10:24:51 UTC; unix
