Some basic functions to implement belief functions including:
    transformation between belief functions using the method introduced by
    Philippe Smets <arXiv:1304.1122>, evidence combination, evidence
    discounting, decision-making, and constructing masses. Currently, thirteen
    combination rules and six decision rules are supported. It can also be
    used to generate different types of random masses when working on belief
    combination and conflict management.

The initial basic feasible solution (IBFS) is a significant step to achieve the minimal total cost (optimal solution) of the transportation problem. However, the existing methods of IBFS do not always provide a good feasible solution which can reduce the number of iterations to find the optimal solution. This initial basic feasible solution can be obtained by using any of the following methods. 
             a) North West Corner Method. 
             b) Least Cost Method. 
             c) Row Minimum Method. 
             d) Column Minimum Method. 
             e) Vogel's Approximation Method.
             etc.
             For more technical details about the algorithms please refer below URLs.
             <https://theintactone.com/2018/05/24/ds-u2-topic-8-transportation-problems-initial-basic-feasible-solution/>.
             <https://www.brainkart.com/article/Methods-of-finding-initial-Basic-Feasible-Solutions_39037/>.
             <https://myhomeworkhelp.com/row-minima-method/>.
             <https://myhomeworkhelp.com/column-minima-method/>.

Implementation of some Individual Based Models (IBMs, sensu Grimm and Railsback 2005) 
  and methods to create new ones, particularly for population dynamics models (reproduction, 
  mortality and movement). The basic operations for the simulations are implemented in Rcpp for speed.

Authentication can be the most difficult part about
  working with a new API. 'ibmAcousticR' facilitates making a
  connection to the 'IBM Acoustic' email campaign management API
  and executing various queries. The 'IBM Acoustic' API 
  documentation is available at
  <https://developer.ibm.com/customer-engagement/docs/>. This
  package is not supported by 'IBM'.