cosa: Bound Constrained Optimal Sample Allocation

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>
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:, r-release:, r-oldrel:
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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