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.

Package details

AuthorLeonhard Held [aut] (<https://orcid.org/0000-0002-8686-5325>), Samuel Pawel [aut] (<https://orcid.org/0000-0003-2779-320X>), Charlotte Micheloud [aut] (<https://orcid.org/0000-0002-4995-4505>), Florian Gerber [cre] (<https://orcid.org/0000-0001-8545-5263>)
MaintainerFlorian Gerber <florian.gerber@uzh.ch>
LicenseGPL (>= 2)
Version1.0.0
URL https://florafauna.github.io/ReplicationSuccess/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ReplicationSuccess")

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ReplicationSuccess documentation built on July 16, 2021, 9:08 a.m.