Simulate: Simulate an observation matrix

In mcavallaro/rancovr: Cluster detection in R with RAndom Neighbourhood COVeRing

Simulate an observation matrix

Description

Given vectors of length M and N, representing spatial and temporal factors (e.g., population density per location and sesonal trends, respectively), this function computes a MxN baseline matrix and simulate a Poisson point process.

Usage

Simulate(
  population,
  time.factor,
  total.average,
  save.baseline.matrix = F,
  n.unknown.time = 0
)

Arguments

population	A numeric vector.
time.factor	numeric vector.
total.average	A numeric.
save.baseline.matrix	A logical.
n.unknown.time	A numeric. Represents the baseline for cases that have unknown date report.

Value

A sparseMatrix observation matrix.

Examples

sim = Simulate(spatial.factor, time.factor, total.average)

mcavallaro/rancovr documentation built on April 17, 2025, 7:21 p.m.