convergence.check.var: Variance by window size check

In tbonne/netTS: netTS: network time series

Description

This function will estimate the variance in the time series based on the window size.

Usage

convergence.check.var(data, windowsize_min = days(10),
  windowsize_max = days(40), by = days(1), windowshift = days(1),
  directed = FALSE, measureFun = igraph::edge_density, SRI = FALSE)

Arguments

data	Dataframe with relational data in the first two rows, and a time stamp in the third row. Note: time stamps should be in ymd or ymd_hms format. The lubridate package can be very helpful in organizing times.
windowsize_min	The min size of windowsize to test.
windowsize_max	The max size of windowsize to test.
by	The resolution at which to test window sizes between the min and the max window sizes
windowshift	The amount of time to shift the window when generating networks.
directed	Whether to consider the network as directed or not (TRUE/FALSE).
measureFun	The measurment function to perform the bootstap on (Default: density).
SRI	Wether to use the simple ratio index (Default=FALSE)

tbonne/netTS documentation built on July 26, 2021, 2:27 a.m.