NEWS.md
In davidbuch/gretel: Generalized Path Analysis for Social Networks
gretel 0.0.1.9000
Package in development after release of version 0.0.1. Pending submission of companion manuscript.
gretel 0.0.1
gretel is a package for generalized path analysis. It implements new measures that
are described in a forthcoming research publication, as well as some traditional path
value measures described in Yang, Knoke (2001).
The exported functions in this package are
gpv, which calculates Generalized Path Valueppv, which calculates Probabilistic Path Valuebinary_distance, peay_path_value, flament_path_length,
peay_average_path_value, and flament_average_path_length, which
calculate path value measures described in Yang, Knoke (2001).generate_proximities, which generates a matrix of values representing the
measures of optimal paths from each source node (row index) to each target node
(column index).opt_gpv, which identifies the path of optimal Generalized Path Value from
a particular source node to a particular target nodeopt_ppv, which identifies the path of optimal Probabilistic Path Value from
a particular source node to a particular target nodeall_opt_gpv, which identifies the 'gpv'-optimal paths from every source node
to every target nodeall_opt_ppv, which identifies the 'ppv'-optimal paths from every source node
to every target nodeunpack, which unpacks the Dijkstra-format encoded shortest paths returned by
all_opt_gpv and all_opt_ppv. See their help pages for details.
The package also includes three example datasets
YangKnoke01OpsahlEtAl10BuchDarrah19
davidbuch/gretel documentation built on Nov. 4, 2019, 9:43 a.m.
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gretel 0.0.1.9000
Package in development after release of version 0.0.1. Pending submission of companion manuscript.
gretel 0.0.1
gretel is a package for generalized path analysis. It implements new measures that
are described in a forthcoming research publication, as well as some traditional path
value measures described in Yang, Knoke (2001).
The exported functions in this package are
gpv, which calculates Generalized Path Valueppv, which calculates Probabilistic Path Valuebinary_distance,peay_path_value,flament_path_length,peay_average_path_value, andflament_average_path_length, which calculate path value measures described in Yang, Knoke (2001).generate_proximities, which generates a matrix of values representing the measures of optimal paths from each source node (row index) to each target node (column index).opt_gpv, which identifies the path of optimal Generalized Path Value from a particular source node to a particular target nodeopt_ppv, which identifies the path of optimal Probabilistic Path Value from a particular source node to a particular target nodeall_opt_gpv, which identifies the 'gpv'-optimal paths from every source node to every target nodeall_opt_ppv, which identifies the 'ppv'-optimal paths from every source node to every target nodeunpack, which unpacks the Dijkstra-format encoded shortest paths returned byall_opt_gpvandall_opt_ppv. See their help pages for details.
The package also includes three example datasets
YangKnoke01OpsahlEtAl10BuchDarrah19
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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