Primary data analysis for sequential multiple assignment randomization trial (SMART) and calibration tools for clinical trial planning purposes. \n The methods used for this package include: \n (1) Likelihood-based global test (hypothesis test, power calculation) by in Zhong X., Cheng, B., Qian M., Cheung Y.K. (2019) <doi:10.1016/j.cct.2019.105830>. \n (2) IPWE-based global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J., Wahed A.S. (2016) <doi:10.1002/sim.6747>. \n (3) G estimates (pairwise comparison, power calculation) by Lavori R., Dawson P.W. (2012) <doi:10.1093/biostatistics/kxr016>. \n (4) IPW estimates (pairwise comparison, power calculation) by Murphy S.A. (2005) <doi:10.1002/sim.2022>. \n (5) SAMRT with adaptive randomization by Cheung Y.K. (2015) <doi:10.1111/biom.12258>.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | graphics, MASS, stats |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-07-30 |
| Author: | Tony Zhong \n Xinru Wang \n Bin Cheng \n Ying Kuen Cheung |
| Maintainer: | Tony Zhong <xiaobo.zhong at mountsinai.org> |
| BugReports: | https://github.com/tonizhong/SMARTAR/issues/ |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tonizhong/SMARTAR/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | SMARTAR results |
| Reference manual: | SMARTAR.pdf |
| Vignettes: |
SMARTAR-tutorial |
| Package source: | SMARTAR_1.1.0.tar.gz |
| Windows binaries: | r-devel: SMARTAR_1.1.0.zip, r-release: SMARTAR_1.1.0.zip, r-oldrel: SMARTAR_1.1.0.zip |
| macOS binaries: | r-release: SMARTAR_1.1.0.tgz, r-oldrel: SMARTAR_1.1.0.tgz |
| Old sources: | SMARTAR archive |
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