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powerLATE  

Generalized Power Analysis for LATE
View on CRAN: Click here


Download and install powerLATE package within the R console
Install from CRAN:
install.packages("powerLATE")

Install from Github:
library("remotes")
install_github("cran/powerLATE")

Install by package version:
library("remotes")
install_version("powerLATE", "0.1.2")



Attach the package and use:
library("powerLATE")
Maintained by
Eddie Yang
[Scholar Profile | Author Map]
First Published: 2020-08-14
Latest Update: 2020-09-27
Description:
An implementation of the generalized power analysis for the local average treatment effect (LATE), proposed by Bansak (2020) . 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.
How to cite:
Eddie Yang (2020). powerLATE: Generalized Power Analysis for LATE. R package version 0.1.2, https://cran.r-project.org/web/packages/powerLATE. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2020-08-14 15:50), 0.1.1 (2020-09-27 18:40)
Other packages that cited powerLATE R package
View powerLATE citation profile
Other R packages that powerLATE depends, imports, suggests or enhances
Complete documentation for powerLATE
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