Computing singular value decomposition with robustness is a challenging task. 
    This package provides an implementation of computing robust SVD using density power 
    divergence (<doi:10.48550/arXiv.2109.10680>). It combines the idea of robustness and efficiency in estimation
    based on a tuning parameter. It also provides utility functions to simulate various
    scenarios to compare performances of different algorithms.

Renders vector-based svg images into high-quality custom-size
    bitmap arrays using 'librsvg2'. The resulting bitmap can be written to
    e.g. png, jpeg or webp format. In addition, the package can convert
    images directly to various formats such as pdf or postscript.

Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.

An R interface to the SYMPHONY solver for mixed-integer linear programs.

'SyncroSim' is a generalized framework for managing scenario-based 
    datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 
    'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to 
    transform these datasets, taking advantage of general features such as 
    defining scenarios of model inputs, running Monte Carlo simulations, and 
    summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher 
    (API documentation: <https://docs.syncrosim.com/>).

Various functions for querying and reshaping dependency trees, 
    as for instance created with the 'spacyr' or 'udpipe' packages.
    This enables the automatic extraction of useful semantic relations from texts,
    such as quotes (who said what) and clauses (who did what). Method proposed in 
    Van Atteveldt et al. (2017) <doi:10.1017/pan.2016.12>.

Access Synthesize Bio models from their API <https://app.synthesize.bio/> using
  this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users
  to generate realistic gene expression data based on specified biological conditions. This package
  enables researchers to easily access AI-generated transcriptomic data for various
  modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.