Includes data analysis and meta-analysis functions (e.g., to 
    calculate effect sizes and 95% Confidence Intervals (CI) on Standardised 
    Effect Sizes (d) for AB/BA cross-over repeated-measures experimental 
    designs), data presentation functions (e.g., density curve overlaid on 
    histogram),and the data sets analyzed in different research papers in 
    software engineering (e.g., related to software defect prediction or multi-
    site experiment concerning the extent to which structured abstracts were
    clearer and more complete than conventional abstracts) to streamline
    reproducible research in software engineering.

A collection of high-level, machine- and OS-independent tools
    for making reproducible and reusable content in R.
    The two workhorse functions are Cache() and prepInputs(). Cache()
    allows for nested caching, is robust to environments and objects with
    environments (like functions), and deals with some classes of 
    file-backed R objects e.g., from terra and raster packages. 
    Both functions have been developed to 
    be foundational components of data retrieval
    and processing in continuous workflow situations. In both functions,
    efforts are made to make the first and subsequent calls of functions have 
    the same result, but faster at subsequent times by way of checksums
    and digesting. Several features are still under development, including
    cloud storage of cached objects allowing for sharing between users. Several
    advanced options are available, see ?reproducibleOptions().

Provide reproducible R chunks in R Markdown document that automatically check computational results for reproducibility. This is achieved by creating json files storing metadata about computational results. A comprehensive tutorial to the package is available as preprint by Brandmaier & Peikert (2024, <doi:10.31234/osf.io/3zjvf>).

Transform coordinates from a specified source to a specified 
 target map projection. This uses the 'PROJ' library directly, by wrapping the 
 'PROJ' package which leverages 'libproj', otherwise the 'proj4' package. The 'reproj()' 
 function is generic, methods may be added to remove the need for an explicit 
 source definition. If 'proj4' is in use 'reproj()' handles the requirement for 
 conversion of angular units where necessary. This is for use primarily to 
 transform generic data formats and direct leverage of the underlying
 'PROJ' library. (There are transformations that aren't possible with 'PROJ' and
 that are provided by the 'GDAL' library, a limitation which users of this 
 package should be aware of.) The 'PROJ' library is available at 
 <https://proj.org/>.