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:	2.1.2
Imports:	Rcpp (≥ 1.0.2), nleqslv, stats, evmix, graphics, Rdpack
LinkingTo:	Rcpp
Suggests:	spelling, testthat, vdiffr
Published:	2022-02-07
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:

Reference manual:

zcurve.pdf

Downloads:

Package source:	zcurve_2.1.2.tar.gz
Windows binaries:	r-devel: zcurve_2.1.2.zip, r-release: zcurve_2.1.2.zip, r-oldrel: zcurve_2.1.2.zip
macOS binaries:	r-release (arm64): zcurve_2.1.2.tgz, r-oldrel (arm64): zcurve_2.1.2.tgz, r-release (x86_64): zcurve_2.1.2.tgz, r-oldrel (x86_64): zcurve_2.1.2.tgz
Old sources:	zcurve archive

Reverse dependencies:

Reverse imports:

CoTiMA

Linking:

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