sim.events.data: Simulate some observation data

In tbonne/netTS: netTS: network time series

Description

This function simulates interaction data based on a group scaning methodology. For a given number of sampling periods, the simulation will generate interactions based on a user defined network, and individual interaction probabilities.

Usage

sim.events.data(nodes, sampling.periods, sampling.periods.per.day = 1,
  true.net = NULL, A = NULL, B = NULL, C = NULL, D = NULL, E = NULL,
  covariates = NULL)

Arguments

nodes	Number of individuals within a simulated group.
sampling.periods	The number of times the simulated group is observed.
sampling.periods.per.day	The number of sampling periods per day.
true.net	(Optional) A network describing who can interact with whom.
A	(Optional) A vector specifying the average probability interaction for each individual. Should be the same length as the number of nodes. Default: runif(node,0,1)
B	(Optional) A matrix (node x node) specifying the inter-dependence of individual interaction probabilities. Default: matrix of zeros
C	(Optional) A matrix (node X covariates) specifying the effect of covariate values on each individual's interaction probability. Default: matrix of zeros
D	(Optional) A matrix (node x node) specifying the inter-dependence of noise around individual variations probabilities. Default: matrix of zeros
E	(Optional) A value for the standard deviation (noise) around individual's mean interaction probability. Default: 0.1
covariates	A matrix (sampling period x covariates) with covariate values for each sampling period.

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