Performs multivariate meta-analysis for high-dimensional data
    to integrate and collectively analyse individual-level data from multiple
    studies, as well as to combine summary estimates. This approach accounts
    for correlation between outcomes, incorporates within- and between-study
    variability, handles missing values, and uses shrinkage estimation to
    accommodate high dimensionality. The 'MetaHD' R package provides access 
    to our multivariate meta-analysis approach, along with a comprehensive 
    suite of existing meta-analysis methods, including fixed-effects and 
    random-effects models, Fisher's method, Stouffer's method, the weighted 
    Z method, Lancaster's method, the weighted Fisher's method, and vote-counting 
    approach. Visualisation tools are provided for interpreting and comparing 
    results across methods, including Venn diagrams, UpSet plots, and ROC curves, 
    heatmaps of pooled effect sizes and correlations among outcomes. A detailed 
    vignette with example datasets and code for data preparation and analysis is 
    available at <https://alyshadelivera.github.io/MetaHD_vignette/>.

Helps calculate statistical values commonly used in meta-analysis. It provides several methods to compute different forms of standardized mean differences, as well as other values such as standard errors and standard deviations.
  The methods used in this package are described in the following references:
  Altman D G, Bland J M. (2011) <doi:10.1136/bmj.d2090>
  Borenstein, M., Hedges, L.V., Higgins, J.P.T. and Rothstein, H.R. (2009) <doi:10.1002/9780470743386.ch4>
  Chinn S. (2000) <doi:10.1002/1097-0258(20001130)19:22%3C3127::aid-sim784%3E3.0.co;2-m>
  Cochrane Handbook (2011) <https://www.cochrane.org/authors/handbooks-and-manuals/handbook/archive/v5.1.0>
  Cooper, H., Hedges, L. V., & Valentine, J. C. (2009) <https://psycnet.apa.org/record/2009-05060-000>
  Cohen, J. (1977) <https://psycnet.apa.org/record/1987-98267-000>
  Ellis, P.D. (2009) <https://www.psychometrica.de/effect_size.html>
  Goulet-Pelletier, J.-C., & Cousineau, D. (2018) <doi:10.20982/tqmp.14.4.p242>
  Hedges, L. V. (1981) <doi:10.2307/1164588>
  Hedges L. V., Olkin I. (1985) <doi:10.1016/C2009-0-03396-0>
  Murad M H, Wang Z, Zhu Y, Saadi S, Chu H, Lin L et al. (2023) <doi:10.1136/bmj-2022-073141>
  Mayer M (2023) <https://search.r-project.org/CRAN/refmans/confintr/html/ci_proportion.html>
  Stackoverflow (2014) <https://stats.stackexchange.com/questions/82720/confidence-interval-around-binomial-estimate-of-0-or-1>
  Stackoverflow (2018) <https://stats.stackexchange.com/q/338043>.