README.md

In florafauna/RStest: Design and Analysis of Replication Studies

ReplicationSuccess

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.

Installation

CRAN version:

install.packages("ReplicationSuccess")

Development version from github:

devtools::install_github(repo = "florafauna/ReplicationSuccess")

Introduction in vignette

To access the vignette from R use:

library("ReplicationSuccess")
vignette("ReplicationSuccess")

Publications

• 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

florafauna/RStest documentation built on Dec. 20, 2021, 8:44 a.m.