metaumbrella 1.0.11

Correct some bugs, including an error that could appear in the Egger’s test if ‘outcome’ instead of ‘outcomes’ was included in the mutiple_es colmun (github issue).

metaumbrella 1.0.10

Redesign of the forest.umbrella function (now a wrapper of the amazing forest.meta function from the meta package). This also allows to plot R as effect size measures, and to correct some bugs that could appear when using “eOR” in v1.0.8.

The add_evidence function can now stratify the evidence according to Ioannidis criteria for R and Z measures if users enter the number of cases

Fixed an issue that could appear when a meta-analysis presented multiple outcomes with a correlation as effect size measure

Added a groove() function to visualize overlap of primary studies (inspired by the work of Pérez-Bracchiglione et al. 2022)

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)