Package: orchaRd
Title: Visualizing Meta-Analyses with Orchard Plots and Prediction
        Intervals
Version: 2.2.1
Authors@R: c(
    person(given = "Daniel", family = "Noble",
           role = c("aut", "cre"),
           email = "daniel.noble@anu.edu.au"),
    person(given = "Shinichi", family = "Nakagawa",
           role = "aut",
           email = "s.nakagawa@unsw.edu.au"))
Description: Generates prediction intervals and orchard plots for
    meta-analytic and meta-regression models fitted with the 'metafor'
    package. Orchard plots augment classic forest plots by displaying
    individual effect sizes together with group means and their confidence
    and prediction intervals, providing an enhanced visualization of
    meta-analytic data for ecology, evolution, and beyond. Methods are
    described in Nakagawa et al. (2023) <doi:10.1111/2041-210X.14152>.
Depends: R (>= 4.2)
URL: https://daniel1noble.github.io/orchaRd/
BugReports: https://github.com/daniel1noble/orchaRd/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Imports: ape, dplyr, emmeans, ggbeeswarm, ggplot2, latex2exp, magrittr,
        MASS, metafor, progress, rWishart, stats, tester, utils
Suggests: broom, glmmTMB, gt, knitr, lme4, metadat, moments, patchwork,
        PearsonDS, purrr, R.rsp, rmarkdown, testthat, tibble
NeedsCompilation: no
Packaged: 2026-07-15 06:02:42 UTC; noble
Author: Daniel Noble [aut, cre],
  Shinichi Nakagawa [aut]
Maintainer: Daniel Noble <daniel.noble@anu.edu.au>
Repository: CRAN
Date/Publication: 2026-07-23 12:40:15 UTC
Built: R 4.6.0; ; 2026-07-23 14:32:32 UTC; unix
