- March 16, 2018: Version 0.2 submitted to CRAN
- Added viz_funnel, a new function to create funnel plot variants
(e.g., additional evidence contour enhanced funnel plots)
- Added viz_forest, a new function to create forest plot variants
(classic, thick forest, and rainforest plots)
- Now includes an additional example dataset of a meta-analysis with
dichotomous outcomes.
- January 14, 2019: Version 0.3 submitted to CRAN
- Added
viz_sunset, a dedicated function for sunset
(power-enhanced) funnel plots. Also available as shiny app: https://metaviz.shinyapps.io/sunset/
- Now includes an additional example dataset of a meta-analysis with
standardized mean differences.
- April 7th, 2020: Version 0.3.1 submitted to CRAN
- Fixed problem of up-side-down funnel plots (
viz_funnel,
viz_sunset, funnelinf) with y_axis = “se”,
which seemed to occur with newer versions of ggplot2
installed.
- Function
viz_funnel now allows to customize funnel plot
contours for random effects models via the contours_type
argument.
- Changed behavior of
viz_forest, viz_funnel
and viz_sunset, such that when output of function
rma.uni from package metafor is used as
input, then the method argument is now extracted from the
rma.uni object.
- Added new functions for visualization and assessment of within-study
effect size inequality (
wineq_forest,
wineq_gini, and wineq_baujat).
- Added
viz_tlma_forest for dedicated forest plots for
three-level meta-analysis.
- Added
viz_tlma_studyinfo for visualizing the
distribution of effect sizes across studies in three-level
meta-analysis.
- Fixed
funnelinf erroring with n > 1
(including rorschach = TRUE), where the y-axis values were
assigned from the original per-study standard errors instead of the
replicated lineup data, causing a size-mismatch error.