Implements bound constrained optimal sample allocation (BCOSA) framework described in Bulus & Dong (2019) <doi:10.1080/00220973.2019.1636197> for power analysis of multilevel regression discontinuity designs (MRDDs) and multilevel randomized trials (MRTs) with continuous outcomes. Separate tools for statistical power and minimum detectable effect size computations are provided.
Version: | 2.0.0 |
Imports: | nloptr (≥ 1.0.4), msm (≥ 1.6.7) |
Suggests: | knitr, rmarkdown |
Published: | 2019-08-24 |
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 |
CRAN checks: | cosa results |
Reference manual: | cosa.pdf |
Vignettes: |
COSA Tutorial |
Package source: | cosa_2.0.0.tar.gz |
Windows binaries: | r-devel: cosa_2.0.0.zip, r-release: cosa_2.0.0.zip, r-oldrel: cosa_2.0.0.zip |
macOS binaries: | r-release: cosa_2.0.0.tgz, r-oldrel: cosa_2.0.0.tgz |
Old sources: | cosa archive |
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