- Fixed some bugs preventing to use all functions in the app and
jamovi module
- Three new effect size measures are available (SMC, R, and Z)
- Three new ESB tests are available (from Stanley and colleagues,
2021: PSST, TESS, TESSPSST)
- Fixed some bugs when drawing a forest plot with colors
- The summary() function now allows to obtain more information on
heterogeneity (via the ‘het_max’ argument)
- The umbrella() function now allows to request a fixed-effect
meta-analysis (via the ‘method.var’ argument)
- The umbrella() function now allows to choose the excess of
statistical significance test (via the ‘method.esb’ argument)
- The unrestricted weighted least squares weighted average can now be
used to estimate the best approximation of the true effect (via the
‘true_effect’ argument of the umbrella() and esb.test() functions)
- The add.evidence() function now warns users when an issue occurred
when estimating the ESB test (a warning message is thus printed when
using the umbrella() + add.evidence() functions).
- New features are available in the forest.umbrella() function
- Test section: some tests have been updated
- umbrella() function: improvement of the meta-analysis selection
process based on user input
- Test section: several tests have been added
- Test section: made a rounding correction and explicitly calls the
estimator for the amount of heterogeneity (method.tau argument) when
using the functions of the meta package
- Documentation: made some improvements (correction of typos and
clarifications)
- First version released on CRAN