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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: 2.4.2
Imports: Rcpp (≥ 1.0.2), nleqslv, stats, evmix, graphics, ggplot2, Rdpack, rlang
LinkingTo: Rcpp
Suggests: parallel, spelling, testthat, vdiffr
Published: 2024-05-28
DOI: 10.32614/CRAN.package.zcurve
Author: František Bartoš [aut, cre], Ulrich Schimmack [aut]
Maintainer: František Bartoš <f.bartos96 at gmail.com>
BugReports: https://github.com/FBartos/zcurve/issues
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:

Reference manual: zcurve.pdf

Downloads:

Package source: zcurve_2.4.2.tar.gz
Windows binaries: r-devel: zcurve_2.4.2.zip, r-release: zcurve_2.4.2.zip, r-oldrel: zcurve_2.4.2.zip
macOS binaries: r-release (arm64): zcurve_2.4.2.tgz, r-oldrel (arm64): zcurve_2.4.2.tgz, r-release (x86_64): zcurve_2.4.2.tgz, r-oldrel (x86_64): zcurve_2.4.2.tgz
Old sources: zcurve archive

Reverse dependencies:

Reverse imports: CoTiMA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=zcurve to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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