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.

Computes the gravitational and magnetic anomalies generated by
  3-D vertical rectangular prisms at specific observation points using the
  method of Plouff (1976) <doi:10.1190/1.1440645>.

The 'gRbase' package provides graphical modelling features
    used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements
    graph algorithms including (i) maximum cardinality search (for marked
    and unmarked graphs).
    (ii) moralization, (iii) triangulation, (iv) creation of junction tree.
    'gRbase' facilitates array operations,
    'gRbase' implements functions for testing for conditional independence.
    'gRbase' illustrates how hierarchical log-linear models may be
    implemented and describes concept of graphical meta
    data. 
    The facilities of the package are documented in the book by Højsgaard,
    Edwards and Lauritzen (2012,
    <doi:10.1007/978-1-4614-2299-0>) and in the paper by 
    Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>).
    Please see 'citation("gRbase")' for citation details.