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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 328.5 kB | osx-64/r-zcurve-2.4.6-r45hed9a748_0.conda  4 months and 5 days ago 35 main
conda 329.2 kB | osx-64/r-zcurve-2.4.6-r44hed9a748_0.conda  4 months and 5 days ago 31 main
conda 318.4 kB | win-64/r-zcurve-2.4.6-r44hd8a2815_0.conda  4 months and 5 days ago 40 main
conda 317.8 kB | win-64/r-zcurve-2.4.6-r45hd8a2815_0.conda  4 months and 5 days ago 42 main
conda 334.7 kB | linux-64/r-zcurve-2.4.6-r44h3697838_0.conda  4 months and 5 days ago 309 main
conda 335.5 kB | linux-64/r-zcurve-2.4.6-r45h3697838_0.conda  4 months and 5 days ago 282 main

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