NEWS
metaviz 0.4.0 (2026-09-28)
- 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.
metaviz 0.3.1 (2020-04-09)
- 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.
metaviz 0.3
- 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.
metaviz 0.2
- 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.
metaviz 0.1.1 (2017-06-30)
metaviz 0.1.0 (2017-02-06)