Utilities to cost and evaluate Australian tax policy, including fast
    projections of personal income tax collections, high-performance tax and 
    transfer calculators, and an interface to common indices from the Australian
    Bureau of Statistics.  Written to support Grattan Institute's Australian 
    Perspectives program, and related projects. Access to the Australian Taxation
    Office's sample files of personal income tax returns is assumed.

Using Australian Bureau of Statistics indices, provides functions
    that convert historical, nominal statistics to real, contemporary values 
    without worrying about date input quality, performance, or the ABS catalogue.

Wrappers for functions in the 'gRain' package to emulate some 'RHugin' 
  functionality, allowing the building of Bayesian networks consisting on discrete 
  chance nodes incrementally, through   adding nodes, edges and conditional probability 
  tables, the setting of evidence,   both 'hard' (boolean) or 'soft' (likelihoods), 
  querying marginal probabilities   and normalizing constants, and generating sets of
  high-probability configurations. Computations will typically not be so fast as they are
  with 'RHugin', but this package should assist users without access to 'Hugin' to use
  code written to use 'RHugin'.

Provides tools for systematically exploring large quantities of 
             temporal data across cyclic temporal granularities
             (deconstructions of time) by visualizing probability distributions.
             Cyclic time granularities can be circular, quasi-circular or 
             aperiodic. 'gravitas' computes cyclic
             single-order-up or multiple-order-up granularities, check the
             feasibility of creating plots for any two cyclic granularities
             and recommend probability distributions plots for exploring
             periodicity in the data.

A wrapper of different standard estimation methods for gravity models. 
  This package provides estimation methods for log-log models and multiplicative models.