convergence.check.boot.graph: Bootstrap convergence check for network level measures

Description Usage Arguments

View source: R/bootstrap_functions.R

Description

This function will estimate the convergence of the chosen network measure using bootstrapped samples of the data.

Usage

1
2
3
convergence.check.boot.graph(data, windowsize = days(30),
  windowshift = days(1), directed = FALSE, measureFun = eigen_mean,
  boot.samples = 100, SRI = FALSE, probs = c(0.025, 0.975))

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

The size of each window in which to generate a network.

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 (should be at the node level).

boot.samples

The number of bootstrapped samples to run (Default=100)

SRI

Wether to use the simple ratio index (Default=FALSE)

probs

The quantiles of the bootrap samples to return (Default=c(0.025,0.975)).


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