Changes in version 1.1.0 (2025-02-28)                  

  - The estimation of the effect sizes now relies on the metaConvert
    package.
  - The GRADE criteria have been reworked in collaboration with a large
    team with extensive experience in evidence synthesis

                 Changes in version 1.0.11 (2024-03-08)                 

  - 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).

                 Changes in version 1.0.10 (2024-01-25)                 

  - Rework importation of the forest function from the meta package

                 Changes in version 1.0.9 (2023-11-06)                  

  - 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.

                 Changes in version 1.0.8 (2023-09-14)                  

  - 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

                 Changes in version 1.0.7 (2023-08-22)                  

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

                 Changes in version 1.0.6 (2023-07-01)                  

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

                 Changes in version 1.0.5 (2022-06-13)                  

  - Fixed some bugs preventing to use all functions in the app and
    jamovi module

                 Changes in version 1.0.4 (2022-06-09)                  

  - 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)

                 Changes in version 1.0.3 (2022-05-06)                  

  - 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

                 Changes in version 1.0.2 (2022-01-26)                  

  - umbrella() function: improvement of the meta-analysis selection
    process based on user input
  - Test section: several tests have been added

                 Changes in version 1.0.1 (2022-01-07)                  

  - 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)

                 Changes in version 1.0.0 (2021-12-20)                  

  - First version released on CRAN