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SMARTp
View on CRAN: Click
here
Download and install SMARTp package within the R console
Install from CRAN:
install.packages("SMARTp")
Install from Github:
library("remotes")
install_github("cran/SMARTp")
Install by package version:
library("remotes")
install_version("SMARTp", "0.1.1")
Attach the package and use:
library("SMARTp")
Maintained by
Dipankar Bandyopadhyay
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-17
Latest Update: 2019-05-17
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+) <doi:10.48550/arXiv.1902.09386>.
How to cite:
Dipankar Bandyopadhyay (2019). SMARTp: Sample Size for SMART Designs in Non-Surgical Periodontal Trials. R package version 0.1.1, https://cran.r-project.org/web/packages/SMARTp. Accessed 21 Apr. 2025.
Previous versions and publish date:
No previous versions
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View SMARTp citation profile
Other R packages that SMARTp depends,
imports, suggests or enhances
Complete documentation for SMARTp
Functions, R codes and Examples using
the SMARTp R package
Some associated functions: CAR_cov_teeth . MC_var_yibar_mis . SMARTp-class . SampleSize_SMARTp . print.SMARTp . summary.SMARTp .
Some associated R codes: CAR_cov_teeth.R . MC_var_yibar_mis.R . SMARTp-class.R . SampleSize_SMARTp.R . print.R . summary.R . utils.R . Full SMARTp package functions and examples
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