ReplicationSuccess: Design and Analysis of Replication Studies

Provides utilities for the design and analysis of replication studies. Features both traditional methods based on statistical significance and more recent methods such as the sceptical p-value; Held L. (2020) <doi:10.1111/rssa.12493>. Also provides related methods including the harmonic mean chi-squared test; Held, L. (2020), <doi:10.1111/rssc.12410>, and intrinsic credibility; Held, L. (2019) <doi:10.1098/rsos.181534>. Contains datasets from four large-scale replication projects.

Version: 1.0.0
Depends: R (≥ 3.5)
Imports: rootSolve
Suggests: knitr, roxygen2, testthat
Published: 2021-07-16
Author: Leonhard Held ORCID iD [aut], Samuel Pawel ORCID iD [aut], Charlotte Micheloud ORCID iD [aut], Florian Gerber ORCID iD [cre]
Maintainer: Florian Gerber <florian.gerber at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: ReplicationSuccess citation info
Materials: README NEWS
CRAN checks: ReplicationSuccess results


Reference manual: ReplicationSuccess.pdf
Vignettes: Introduction to ReplicationSuccess
Package source: ReplicationSuccess_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ReplicationSuccess_1.0.0.tgz, r-release (x86_64): ReplicationSuccess_1.0.0.tgz, r-oldrel: ReplicationSuccess_1.0.0.tgz


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