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


Reference manual: zcurve.pdf


Package source: zcurve_2.3.0.tar.gz
Windows binaries: r-devel: zcurve_2.3.0.zip, r-release: zcurve_2.3.0.zip, r-oldrel: zcurve_2.3.0.zip
macOS binaries: r-release (arm64): zcurve_2.3.0.tgz, r-oldrel (arm64): zcurve_2.3.0.tgz, r-release (x86_64): zcurve_2.3.0.tgz, r-oldrel (x86_64): zcurve_2.3.0.tgz
Old sources: zcurve archive

Reverse dependencies:

Reverse imports: CoTiMA


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