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Implements bound constrained optimal sample size allocation (BCOSSA) framework described in Bulus & Dong (2021) <doi:10.1080/00220973.2019.1636197> for power analysis of multilevel regression discontinuity designs (MRDDs) and multilevel randomized trials (MRTs) with continuous outcomes. Minimum detectable effect size (MDES) and power computations for MRDDs allow polynomial functional form specification for the score variable (with or without interaction with the treatment indicator). See Bulus (2021) <doi:10.1080/19345747.2021.1947425>.
| Version: | 2.1.0 |
| Imports: | nloptr (≥ 1.0.4), msm (≥ 1.6.7) |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-11-20 |
| Author: | Metin Bulus [aut, cre], Nianbo Dong [aut] |
| Maintainer: | Metin Bulus <bulusmetin at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | cosa citation info |
| Materials: | README NEWS |
| In views: | ClinicalTrials |
| CRAN checks: | cosa results |
| Reference manual: | cosa.pdf |
| Vignettes: |
BCOSSA Tutorial |
| Package source: | cosa_2.1.0.tar.gz |
| Windows binaries: | r-devel: cosa_2.1.0.zip, r-release: cosa_2.1.0.zip, r-oldrel: cosa_2.1.0.zip |
| macOS binaries: | r-release (arm64): cosa_2.1.0.tgz, r-oldrel (arm64): cosa_2.1.0.tgz, r-release (x86_64): cosa_2.1.0.tgz, r-oldrel (x86_64): cosa_2.1.0.tgz |
| Old sources: | cosa archive |
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