Configuration management using files (YAML, JSON, INI, TXT),
  JSON strings, and command line arguments. Command line arguments
  can be used to override configuration. Period-separated command line
  flags are parsed as hierarchical lists. Environment variables, R global variables,
  and configuration values can be substituted.

Solve some conic related problems (intersection of conics with lines and conics, arc length of an ellipse, polar lines, etc.).

'TROLL' is coded in C++ and it typically simulates hundreds of
    thousands of individuals over hundreds of years. The 'rcontroll' R package 
    is a wrapper of 'TROLL'. 'rcontroll' includes functions that generate inputs 
    for simulations and run simulations. Finally, it is possible to analyse 
    the 'TROLL' outputs through tables, figures, and maps taking advantage of 
    other R visualisation packages. 'rcontroll' also offers the possibility to 
    generate a virtual LiDAR point cloud that corresponds to a snapshot of 
    the simulated forest.

Convert text into target classifications (e.g., ISO 3166-1) using a
    JSON mapping with regular expressions. Provides helpers to return the full
    mapping and associated metadata.

A collection of small text corpora of interesting data.
    It contains all data sets from 'dariusk/corpora'. Some examples:
    names of animals: birds, dinosaurs, dogs; foods: beer categories,
    pizza toppings; geography: English towns, rivers, oceans;
    humans: authors, US presidents, occupations; science: elements,
    planets; words: adjectives, verbs, proverbs, US president quotes.

Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.