cosa
Bound Constrained Optimal Sample Size Allocation
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.
- Version2.1.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- cosa citation info
- Last release11/20/2021
Documentation
Team
Metin Bulus
Nianbo Dong
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Last 30 days
This package has been downloaded 231 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 3,135 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 41 downloads.
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Dependencies
- Imports2 packages
- Suggests2 packages