CRAN/E | SMARTp

SMARTp

Sample Size for SMART Designs in Non-Surgical Periodontal Trials

Installation

About

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+) .

github.com/bandyopd/SMARTp

Key Metrics

Version 0.1.1
R ≥ 3.5
Published 2019-05-17 1805 days ago
Needs compilation? no
License LGPL-2
License LGPL-2.1
License LGPL-3
CRAN checks SMARTp results

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Maintainer

Maintainer

Dipankar Bandyopadhyay

bandyopd@gmail.com

Authors

Jing Xu
Dipankar Bandyopadhyay
Douglas Azevedo
Bibhas Chakraborty

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5

Imports

covr
sn ≥ 1.5
mvtnorm ≥ 1.0
stats
methods