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. Also provides related methods including the harmonic mean chi-squared test and intrinsic credibility. Contains datasets from four large-scale replication projects.
Development version from github:
devtools::install_github(repo = "florafauna/ReplicationSuccess")
To access the vignette from R use:
Held, L. (2020). A new standard for the analysis and design of replication studies (with discussion). Journal of the Royal Statistical Society: Series A (Statistics in Society). 183(2):431-448. https://doi.org/10.1111/rssa.12493
Held, L., Micheloud, C., Pawel, S. (2021). The assessment of replication success based on relative effect size. https://arxiv.org/abs/2009.07782
Held, L. (2020). The harmonic mean chi-squared test to substantiate scientific findings. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69:697-708. https://doi.org/10.1111/rssc.12410
Micheloud, C., Held, L. (2021). Power Calculations for Replication Studies. https://arxiv.org/abs/2004.10814
Pawel, S., Held, L. (2020). Probabilistic forecasting of replication studies. PLoS ONE 15(4):e0231416. https://doi.org/10.1371/journal.pone.0231416
Held, L. (2019). The assessment of intrinsic credibility and a new argument for p < 0.005. Royal Society Open Science, 6:181534. https://dx.doi.org/10.1098/rsos.181534
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.