gretel: Generalized Path Analysis for Social Networks

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) <doi:10.1016/S0378-8733(01)00043-0>.

Version:	0.0.1
Depends:	R (≥ 3.0)
Imports:	Rcpp (≥ 1.0.0), ResistorArray (≥ 1.0-32)
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown, testthat (≥ 2.1.0)
Published:	2019-08-22
Author:	David Buch [aut, cre]
Maintainer:	David Buch <davidbuch42 at gmail.com>
BugReports:	https://github.com/davidbuch/gretel/issues
License:	GPL-3
URL:	https://github.com/davidbuch/gretel
NeedsCompilation:	yes
Citation:	gretel citation info
Materials:	README NEWS
CRAN checks:	gretel results

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