The social network literature features numerous methods for assigning
value to paths as a function of their ties. 'gretel' systemizes these approaches,
casting them as instances of a generalized path value function indexed by
a penalty parameter. The package also calculates probabilistic path value and
identifies optimal paths in either value framework. Finally, proximity
matrices can be generated in these frameworks that capture high-order connections
overlooked in primitive adjacency sociomatrices. Novel methods are described
in Buch (2019) < https://davidbuch.github.io/analyzing-networks-with-gretel.html>.
More traditional methods are also implemented, as described in Yang, Knoke (2001)