Create an immutable container holding metadata for the
    purpose of better enabling programming activities and functionality of
    other packages within the clinical programming workflow.

There are two functions-meta2d and meta3d for
    detecting rhythmic signals from time-series datasets. For analyzing
    time-series datasets without individual information, 'meta2d' is 
    suggested, which could incorporates multiple methods from ARSER, 
    JTK_CYCLE and Lomb-Scargle in the detection of interested rhythms. For 
    analyzing time-series datasets with individual information, 'meta3d' is 
    suggested, which takes use of any one of these three methods to analyze 
	time-series data individual by individual and gives out integrated values 
    based on analysis result of each individual.

A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.

Using non-parametric tests, naive associations between omics 
    features and metadata in cross-sectional data-sets are detected. In a second 
    step, confounding effects between metadata associated to the same omics 
    feature are detected and labeled using nested post-hoc model comparison
    tests, as first described in 
    Forslund, Chakaroun, Zimmermann-Kogadeeva, et al. (2021) <doi:10.1038/s41586-021-04177-9>. 
    The generated output can be graphically summarized using the built-in plotting function.

High-throughput, flexible and reproducible extraction of data from figures in primary research papers. metaDigitise() can extract data and / or automatically calculate summary statistics for users from box plots, bar plots (e.g., mean and errors), scatter plots and histograms.

Conducting linear and nonlinear
    dose-response meta-regression using study-level summary data. It supports both
    continuous and binary outcomes and allows modeling of dose-effect relationships
    using linear trends or nonlinear restricted cubic splines.
    The package is designed to facilitate transparent, flexible, and reproducible
    dose-response meta-analyses, with built-in visualization of fitted
    dose-response curves.