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.
- Version1.3.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- ReplicationSuccess citation info
- Last release10/22/2024
Documentation
Team
Samuel Pawel
Florian Gerber
Leonhard Held
Charlotte Micheloud
Felix Hofmann
Insights
Last 30 days
This package has been downloaded 298 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,469 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Oct 23, 2024 with 62 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Suggests3 packages