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gretel
View on CRAN: Click
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Download and install gretel package within the R console
Install from CRAN:
install.packages("gretel")
Install from Github:
library("remotes")
install_github("cran/gretel")
Install by package version:
library("remotes")
install_version("gretel", "0.0.1")
Attach the package and use:
library("gretel")
Maintained by
David Buch
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-22
Latest Update: 2019-08-22
Description:
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) .
More traditional methods are also implemented, as described in Yang, Knoke (2001)
.
How to cite:
David Buch (2019). gretel: Generalized Path Analysis for Social Networks. R package version 0.0.1, https://cran.r-project.org/web/packages/gretel. Accessed 18 Feb. 2025.
Previous versions and publish date:
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Other R packages that gretel depends,
imports, suggests or enhances
Complete documentation for gretel
Functions, R codes and Examples using
the gretel R package
Some associated functions: BuchDarrah19 . OpsahlEtAl10 . YangKnoke01 . all_opt_gpv . all_opt_ppv . binary_distance . dijkstra_inf . dijkstra_nodes . flament_average_path_length . flament_path_length . generate_proximities . gpv . gretel . opt_gpv . opt_ppv . peay_average_path_value . peay_path_value . ppv . unpack .
Some associated R codes: RcppExports.R . data.R . gpv.R . gretel.R . historical.R . opt_gpv.R . opt_ppv.R . ppv.R . proximity.R . support.R . Full gretel package functions and examples
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