dyadmlvar-package: dyadmlvar: Dyadic Timeseries Extension for Mlvar

Description Details Author(s)

Description

Analyze dyadic mlVAR networks, computing variables such as intra-partner and inter-partner node connections, strength of nodes, and density of the intra-partner and inter-partner networks.

Details

The package analyzes dyadic networks computed by the mlVAR package. Use read_network to analyze a network, get_names to get lists of variable names for specific types of variables (e.g. inter-partner variables), and subset them from the table of all variables (ntwrk$all if ntwrk is the output of read_network). Due to the large number of variables you will probably want to use the lasso function to see which variables explain significant amounts of variance in some outcome vector. More detail can be found in Bar-Kalifa & Sened, 2019 (Under review).

Author(s)

Maintainer: Haran Sened haranse@gmail.com

Authors:


haranse/dyadmlvar documentation built on May 23, 2019, 6:06 p.m.