zcurve: An Implementation of Z-Curves
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: |
2.3.0 |
| Imports: |
Rcpp (≥ 1.0.2), nleqslv, stats, evmix, graphics, Rdpack |
| LinkingTo: |
Rcpp |
| Suggests: |
parallel, spelling, testthat, vdiffr |
| Published: |
2023-01-05 |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
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