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JustifyAlpha  

Justifying Alpha Levels for Hypothesis Tests
View on CRAN: Click here


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

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

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



Attach the package and use:
library("JustifyAlpha")
Maintained by
Maximilian Maier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-15
Latest Update: 2025-07-02
Description:
Functions to justify alpha levels for statistical hypothesis tests by avoiding Lindley's paradox, or by minimizing or balancing error rates. For more information about the package please read the following: Maier & Lakens (2021) ).
How to cite:
Maximilian Maier (2021). JustifyAlpha: Justifying Alpha Levels for Hypothesis Tests. R package version 0.1.2, https://cran.r-project.org/web/packages/JustifyAlpha. Accessed 12 Jul. 2026.
Previous versions and publish date:
0.1.1 (2021-09-15 10:00), (2026-07-09 08:07)
Other packages that cited JustifyAlpha R package
View JustifyAlpha citation profile
Other R packages that JustifyAlpha depends, imports, suggests or enhances
Complete documentation for JustifyAlpha
Functions, R codes and Examples using the JustifyAlpha R package
Some associated functions: ftestEvidence . optimal_alpha . optimal_sample . runApp . ttestEvidence . 
Some associated R codes: JustifyAlpha.R . ftestevidence.R . justify_alpha_helper.R . launchshiny.R . minimize_balance_alpha.R . optimal_sample.R . ttestevidence.R .  Full JustifyAlpha package functions and examples
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Justifying Alpha Levels for Hypothesis Tests
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