powerLATE: Generalized Power Analysis for LATE

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: 0.1.2
Published: 2024-05-29
DOI: 10.32614/CRAN.package.powerLATE
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_tutorial, https://github.com/kbansak/powerLATE
NeedsCompilation: no
Materials: README
CRAN checks: powerLATE results


Reference manual: powerLATE.pdf


Package source: powerLATE_0.1.2.tar.gz
Windows binaries: r-devel: powerLATE_0.1.2.zip, r-release: powerLATE_0.1.2.zip, r-oldrel: powerLATE_0.1.2.zip
macOS binaries: r-release (arm64): powerLATE_0.1.2.tgz, r-oldrel (arm64): powerLATE_0.1.2.tgz, r-release (x86_64): powerLATE_0.1.2.tgz, r-oldrel (x86_64): powerLATE_0.1.2.tgz
Old sources: powerLATE archive


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