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An implementation of the generalized power analysis for the local average treatment effect (LATE), proposed by Bansak (2020) <doi:10.1214/19-STS732>. Power analysis is in the context of estimating the LATE (also known as the complier average causal effect, or CACE), with calculations based on a test of the null hypothesis that the LATE equals 0 with a two-sided alternative. The method uses standardized effect sizes to place a conservative bound on the power under minimal assumptions. Package allows users to recover power, sample size requirements, or minimum detectable effect sizes. Package also allows users to work with absolute effects rather than effect sizes, to specify an additional assumption to narrow the bounds, and to incorporate covariate adjustment.
| Version: | 0.1.1 |
| Suggests: | covr |
| Published: | 2020-09-27 |
| Author: | Kirk Bansak [aut], Eddie Yang [aut, cre] |
| Maintainer: | Eddie Yang <z5yang at ucsd.edu> |
| BugReports: | https://github.com/kbansak/powerLATE/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/kbansak/powerLATE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | powerLATE results |
| Reference manual: | powerLATE.pdf |
| Package source: | powerLATE_0.1.1.tar.gz |
| Windows binaries: | r-devel: powerLATE_0.1.1.zip, r-release: powerLATE_0.1.1.zip, r-oldrel: powerLATE_0.1.1.zip |
| macOS binaries: | r-release (arm64): powerLATE_0.1.1.tgz, r-oldrel (arm64): powerLATE_0.1.1.tgz, r-release (x86_64): powerLATE_0.1.1.tgz, r-oldrel (x86_64): powerLATE_0.1.1.tgz |
| Old sources: | powerLATE archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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