An Implementation of Z-Curves
Compute z-score corresponding to a power
Prints estimates from z-curve object
Prints summary object for z-curve method
Prints a z-curve data object
Prints a fitted z-curve object
Summarize fitted z-curve object
Compute power corresponding to z-scores
Control settings for the original z-curve density algorithm
Control settings for the z-curve 2.0 density algorithm
Control settings for the zcurve EM algorithm
Prints first few rows of a z-curve data object
Reports whether x is a zcurve object
Plot fitted z-curve object
Fit a z-curve to clustered data
Prepare data for z-curve
Options for the zcurve package
zcurve: An Implementation of Z-Curves
z-curve estimates
Fit a z-curve
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 density, EM, and censored EM version (Bartoš & Schimmack, 2022, <doi:10.15626/MP.2021.2720>; Schimmack & Bartoš, 2023, <doi: 10.1371/journal.pone.0290084>), 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.