Provides functions to handle command-line arguments for R
    scripting. It enables building stand-alone R programs that accept and
    parse command-line options in 'BIOS' style.
    Zhang (2025) <https://github.com/bedapub/ribiosArg>.

Tools to manipulate and visualize graphs (networks) for computational biology in drug discovery, for instance functions for creating bipartite graphs and for interactive visualizations. Zhang (2025) <https://github.com/bedapub/ribiosGraph>.

Provides data structures and functions for file input/output in the 'ribios' software suite, supporting common bioinformatics and computational biology file formats, designed for fast loading and high performance with minimal dependencies.

Mathematical and statistical tools for computational biology
    in drug discovery. Functions are designed for high performance. Implements
    the hierarchical fuzzy multi-linkage partitioning method proposed by
    Huang et al. (2007) <doi:10.1186/gb-2007-8-9-r183>.

Provides data structures and functions for data transformation and visualization in computational biology in drug discovery as part of the 'ribios' software suite. Zhang (2025) <https://github.com/bedapub/ribiosPlot>.

Provides interface to the 'Bioinfo-C' (internal name: 'BIOS') library and utilities. 'ribiosUtils' is a Swiss-knife for computational biology in drug discovery, providing functions and utilities with minimal external dependency and maximal efficiency.

Provides a compact 'R' interface for performing tensor calculations.
    This is achieved by allowing (upper and lower) index labeling of arrays
    and making use of Ricci calculus conventions to implicitly trigger
    contractions and diagonal subsetting.
    Explicit tensor operations, such as addition, subtraction and
    multiplication of tensors via the standard operators, raising and lowering
    indices, taking symmetric or antisymmetric tensor parts, as well as the
    Kronecker product are available. Common tensors like the Kronecker delta,
    Levi Civita epsilon, certain metric tensors, the Christoffel symbols,
    the Riemann as well as Ricci tensors are provided.
    The covariant derivative of tensor fields with respect to any metric
    tensor can be evaluated. An effort was made to provide the user with
    useful error messages.