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>, Held et al. (2022) <doi:10.1214/21-AOAS1502>, Micheloud et al. (2023) <doi:10.1111/stan.12312>. 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 five large-scale replication projects.

Package details

AuthorLeonhard Held [aut] (<https://orcid.org/0000-0002-8686-5325>), Samuel Pawel [cre] (<https://orcid.org/0000-0003-2779-320X>), Charlotte Micheloud [aut] (<https://orcid.org/0000-0002-4995-4505>), Florian Gerber [aut] (<https://orcid.org/0000-0001-8545-5263>), Felix Hofmann [aut] (<https://orcid.org/0000-0002-3891-6239>)
MaintainerSamuel Pawel <samuel.pawel@uzh.ch>
LicenseGPL (>= 2)
Version1.3.2
URL https://crsuzh.github.io/ReplicationSuccess/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ReplicationSuccess")

Try the ReplicationSuccess package in your browser

Any scripts or data that you put into this service are public.

ReplicationSuccess documentation built on May 29, 2024, 9:42 a.m.