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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.
| Version: | 2.4.0 |
| Imports: | Rcpp (≥ 1.0.2), nleqslv, stats, evmix, graphics, ggplot2, Rdpack, rlang |
| LinkingTo: | Rcpp |
| Suggests: | parallel, spelling, testthat, vdiffr |
| Published: | 2023-10-27 |
| Author: | František Bartoš [aut, cre], Ulrich Schimmack [aut] |
| Maintainer: | František Bartoš <f.bartos96 at gmail.com> |
| License: | GPL-3 |
| URL: | https://fbartos.github.io/zcurve/ |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | zcurve citation info |
| Materials: | README |
| CRAN checks: | zcurve results |
| Reference manual: | zcurve.pdf |
| Package source: | zcurve_2.4.0.tar.gz |
| Windows binaries: | r-devel: zcurve_2.4.0.zip, r-release: zcurve_2.4.0.zip, r-oldrel: zcurve_2.4.0.zip |
| macOS binaries: | r-release (arm64): zcurve_2.4.0.tgz, r-oldrel (arm64): zcurve_2.4.0.tgz, r-release (x86_64): zcurve_2.4.0.tgz, r-oldrel (x86_64): zcurve_2.4.0.tgz |
| Old sources: | zcurve archive |
| Reverse imports: | CoTiMA |
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These binaries (installable software) and packages are in development.
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