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alphaN 0.2.0

New features

• alphaN() gains two methods based on Klauer, Meyer-Grant & Kellen (2024, Psychonomic Bulletin & Review, doi:10.3758/s13423-024-02612-2): method = "ES" calibrates alpha to their effect-size Bayes factor, whose prior centers the alternative hypothesis on a prespecified effect size, and method = "moment" calibrates alpha to their moment Bayes factor, under which effects near zero are a priori implausible. New arguments de (targeted effect size, default 0.5), nu, and r control the priors, with defaults following the paper’s recommendations. Because the moment prior rules out near-zero effects, the alpha level it implies falls much faster with n than under JAB.
• As a special case, method = "ES", nu = 1, de = 0 with an explicit r calibrates alpha to the default (Jeffreys-Zellner-Siow type) Bayes factor of Rouder et al. (2009).
• The implementation is validated against all twelve Bayes factors printed in Table 7 of Klauer et al. (2024); these checks are part of the test suite.

alphaN 0.1.3

Bug fixes

• alphaN() and JABt() now return correct results when n is a vector and method = "robust" or method = "balanced". Previously, "robust" silently applied the smallest sample size to every element and "balanced" failed with an unrelated error.

Improvements

• All functions now validate their inputs and fail with informative error messages: a mistyped method, a missing df in JABp(..., z = FALSE), a p outside (0, 1], a non-positive n or BF, and an unknown covariate in JAB() (which now lists the coefficients available in the model).
• JAB_plot() gained an upper argument, passed on to the underlying computations for method = "balanced".
• alphaN_plot() gained a ylim argument. The default now covers all four curves; previously the y-axis was fixed to (0, 0.05), which silently clipped the "balanced" curve for small Bayes factors.
• JAB() now determines the sample size via nobs().

Documentation

• ?JABp no longer has a placeholder title.
• Corrected the Wagenmakers (2022) reference (year, title) and updated the Wulff & Taylor reference to the published version (2024, Strategic Organization, doi:10.1177/14761270231214429) in the documentation, README, and vignette.
• Added a CITATION file for the companion paper.
• Fixed typos in the vignette and documented that JABp() expects a two-sided p-value.

alphaN 0.1.2

alphaN 0.1.1

• Removed vignette example that depended on unstable dataset.

alphaN 0.1.0

• Added a NEWS.md file to track changes to the package.
• First CRAN submission.

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.