Implements bound constrained optimization of sample sizes in power analysis of multilevel regression discontinuity studies (RDDs) and multilevel randomized controlled trials (RCTs) with continuous outcomes. Functions for statistical power and minimum detectable effect size calculations are also provided. Bulus, M. (2017). Design Considerations in Three-level Regression Discontinuity Studies (Doctoral dissertation). University of Missouri, Columbia, MO.
| Version: | 1.2.1 |
| Imports: | nloptr (≥ 1.0.4) |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-12-16 |
| Author: | Metin Bulus [aut, cre, cph], Nianbo Dong [aut, cph] |
| Maintainer: | Metin Bulus <bulusmetin at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | cosa citation info |
| Materials: | README NEWS |
| CRAN checks: | cosa results |
| Reference manual: | cosa.pdf |
| Vignettes: |
COSA Tutorial |
| Package source: | cosa_1.2.1.tar.gz |
| Windows binaries: | r-devel: cosa_1.2.1.zip, r-release: cosa_1.2.1.zip, r-oldrel: cosa_1.2.1.zip |
| OS X binaries: | r-release: cosa_1.2.1.tgz, r-oldrel: cosa_1.2.1.tgz |
| Old sources: | cosa archive |
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