Package: orchaRd 2.2.1

Daniel Noble

orchaRd: Visualizing Meta-Analyses with Orchard Plots and Prediction Intervals

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>.

Authors:Daniel Noble [aut, cre], Shinichi Nakagawa [aut]

orchaRd_2.2.1.tar.gz
orchaRd_2.2.1.zip(r-4.7-any)
orchaRd_2.2.1.tar.gz(r-4.7-any)orchaRd_2.2.1.tar.gz(r-4.6-any)
orchaRd_2.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
orchaRd/json (API)

# Install 'orchaRd' in R:
install.packages('orchaRd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/daniel1noble/orchard/issues

Datasets:

On CRAN:

Conda:

1.70 score 35 exports 51 dependencies

Last updated from:fe0864954b. Checks:5 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK243
source / vignettesOK228
linux-release-x86_64OK235
windows-devel-x86_64OK275
wasm-releaseOK157

Exports:.safe_lnM_dep.safe_lnM_indep%>%bubble_plotcaterpillarscor_diffcvh1_mlcvh2_mlfirstupget_data_rawget_data_raw_contglmmTMB_to_rmai2_mlleave_one_outm1_mlm2_mlmagnitude_effectsmatrix_i2ml_cvh1ml_cvh2ml_m1ml_m2mod_resultsmoment_effectsnum_studiesorchard_leave1outorchard_plotpred_interval_esmeanspub_bias_plotR2_calcr2_mlratio_i2submergeweighted_varZr_to_r

Dependencies:apebeeswarmclicpp11crayondigestdplyremmeansestimabilityfarvergenericsggbeeswarmggplot2gluegtablehmsisobandlabelinglatex2explatticelazyevallifecyclemagrittrMASSmathjaxrMatrixmetadatmetaformvtnormnlmenumDerivpbapplypillarpkgconfigprettyunitsprogressR6RColorBrewerRcpprlangrWishartS7scalestestertibbletidyselectutf8vctrsviporviridisLitewithr