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Introducing the Orchard Plot for Meta-analysis

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Citing orchaRd

To cite orchaRd 2.0 in publications one can use the following reference:

Shinichi Nakagawa, Malgorzata Lagisz, Rose E. O’Dea, Patrice Pottier, Joanna Rutkowska, Alistair M. Senior, Yefeng Yang, Daniel W.A. Noble. 2023. orchaRd 2.0: An R package for visualizing meta-analyses with orchard plots. Methods in Ecology and Evolution, https://doi.org/10.1111/2041-210X.14152 (preprint = EcoEvoRxiv, https://doi.org/10.32942/X2QC7).

For earlier versions please cite:

Nakagawa, S., Lagisz, M., O’Dea, R. E., Rutkowska, J., Yang, Y., Noble, D. W., & Senior, A. M. (2019). The Orchard Plot: Cultivating Forest Plots for Use in Ecology, Evolution and Beyond. Research Synthesis Methods https://doi.org/10.1002/jrsm.1424 12: 4-12 (preprint = EcoEvoRxiv https://doi.org/10.32942/osf.io/epqa7)

Installation

To install orchaRd use the following code in R:

install.packages("pacman")
pacman::p_load(devtools, tidyverse, metafor, patchwork, R.rsp, emmeans)

devtools::install_github("daniel1noble/orchaRd", force = TRUE)
library(orchaRd)

How to use?

We detail how to use the orchaRd package in the vignette.

Issues with orchaRd 2.0?

Please note that orchaRd 2.0 is still under active development and testing. If you use it, you should check that the results are what you expect. We do have a number of tests already in place, but there may still be situations where it fails. If you find a bug or a situation that doesn’t match your expectations let us know by lodging an issue on GitHub.

Changelog

Version 2.2.0 (2026-04-18)

See the vignette for usage examples of new features.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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