cosa: Bound Constrained Optimal Sample Allocation

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

Downloads:

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
OS X binaries: r-release: cosa_2.0.0.tgz, r-oldrel: cosa_2.0.0.tgz
Old sources: cosa archive

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