An easy package for scraping and processing Australia Rules Football (AFL)
    data. 'fitzRoy' provides a range of functions for accessing publicly available data 
    from 'AFL Tables' <https://afltables.com/afl/afl_index.html>, 'Footy Wire' <https://www.footywire.com> and
    'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, 
    cleaning and transformation of this data into formats that can be used for analysis.

Datasets and code published by the data journalism website 
    'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>. 
    Note that while we received guidance from editors at 'FiveThirtyEight', this 
    package is not officially published by 'FiveThirtyEight'.

Fixed income mathematics made easy. A rich set of functions 
    that helps with calculations of interest rates and fixed income.
    It has objects that abstract interest rates, compounding factors, day count rules,
    forward rates and term structure of interest rates.
    Many interpolation methods and parametric curve models commonly used by practitioners
    are implemented.

For functions that take and return vectors (or scalars), this package provides 8 algorithms for finding fixed point vectors (vectors for which the inputs and outputs to the function are the same vector). These algorithms include Anderson (1965) acceleration <doi:10.1145/321296.321305>, epsilon extrapolation methods (Wynn 1962 <doi:10.2307/2004051>) and minimal polynomial methods (Cabay and Jackson 1976 <doi:10.1137/0713060>).

Determine and test the fixed-point property in binary mixture data.
  This package was originally developed in the context of detecting mixture of 
  cognitive processing strategies, based on observed response time distributions. 
  The method is explain in more detail by Van Maanen, De Jong, Van Rijn (2014) 
  <doi:10.1371/journal.pone.0106113> and Van Maanen, Couto, Lebreton, (2016) 
  <doi:10.1371/journal.pone.0167377>.

Distribution functions and test for over-representation of short
    distances in the Liland distribution. Simulation functions are included for
    comparison.