Provides environment modules functionality, which enables use of the Environment Modules system (<http://modules.sourceforge.net/>) from within the R environment. By default the user's login shell environment (ie. "bash -l") will be used to initialize the current session. The module function can also; load or unload specific software, list all the loaded software within the current session, and list all the applications available for loading from the module system. Lastly, the module function can remove all loaded software from the current session.

Provides functions to compute Shannon entropy, Renyi entropy,
    Tsallis entropy, and related extropy measures for discrete probability
    distributions. Includes joint and conditional entropy, KL divergence,
    Jensen-Shannon divergence, cross-entropy, normalized entropy, and
    Renyi extropy (including the conditional and maximum forms). All
    measures use the natural logarithm (nats). Useful for information
    theory, statistics, and machine learning applications.

Contains utilities for the analysis of Michaelian kinetic data. Beside the classical linearization 
	methods (Lineweaver-Burk, Eadie-Hofstee, Hanes-Woolf and Eisenthal-Cornish-Bowden), features include the 
	ability to carry out weighted regression analysis that, in most cases, substantially improves the estimation 
	of kinetic parameters (Aledo (2021) <doi:10.1002/bmb.21522>). To avoid data transformation and the potential
	biases introduced by them, the package also offers functions to directly fitting data to the Michaelis-Menten 
	equation, either using ([S], v) or (time, [S]) data. Utilities to simulate substrate progress-curves (making 
	use of the Lambert W function) are also provided. The package is accompanied of vignettes that aim to orientate
	the user in the choice of the most suitable method to estimate the kinetic parameter of an Michaelian enzyme.

The complete data set of open repair data, full compliant with the Open Repair Data Standards (ORDS).
      It combines the datasets contributed by partner organizations of the Open Repair Alliance (ORA). Last updated: 2021-02-22. 
      The package also contains via quests enriched datasets on batteries,
      printer, mobiles, and tablets.