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An implementation of z-curves - a method for estimating expected discovery and replicability rates on the bases of test-statistics of published studies. The package provides functions for fitting the new density and EM version (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>), censored observations, as well as the original density z-curve (Brunner & Schimmack, 2020, <doi:10.15626/MP.2018.874>). Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. See the aforementioned articles for more information about the z-curves, expected discovery and replicability rates, validation studies, and limitations.

copied from cf-post-staging / r-zcurve
Type Size Name Uploaded Downloads Labels
conda 319.3 kB | win-64/r-zcurve-2.4.3-r44hd8a2815_0.conda  18 days and 22 hours ago 26 main
conda 317.7 kB | win-64/r-zcurve-2.4.3-r43hd8a2815_0.conda  18 days and 22 hours ago 27 main
conda 327.5 kB | osx-64/r-zcurve-2.4.3-r44h813e631_0.conda  18 days and 22 hours ago 25 main
conda 325.5 kB | osx-64/r-zcurve-2.4.3-r43h813e631_0.conda  18 days and 23 hours ago 22 main
conda 332.6 kB | linux-64/r-zcurve-2.4.3-r43h3697838_0.conda  18 days and 23 hours ago 82 main
conda 334.7 kB | linux-64/r-zcurve-2.4.3-r44h3697838_0.conda  18 days and 23 hours ago 81 main

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