MNP: MNP scan procedure

In HDSpatialScan: Multivariate and Functional Spatial Scan Statistics

MNP scan procedure

Description

This function computes the MNP (Multivariate Nonparametric scan statistic).

Usage

MNP(
  data,
  MC = 999,
  typeI = 0.05,
  nbCPU = 1,
  variable_names = NULL,
  initialization,
  permutations
)

Arguments

data	matrix. Matrix of the data, the rows correspond to the sites (or the individuals if the observations are by individuals and not by sites) and each column represents a variable.
MC	numeric. Number of Monte-Carlo permutations to evaluate the statistical significance of the clusters. By default: 999.
typeI	numeric. The desired type I error. A cluster will be evaluated as significant if its associated p-value is less than typeI. By default 0.05.
nbCPU	numeric. Number of CPU. If nbCPU > 1 parallelization is done. By default: 1.
variable_names	character. Names of the variables. By default NULL
initialization	list. Initialization for the scan procedure (see InitScan for more details).
permutations	matrix. Indices of permutations of the data.

Value

An object of class ResScanOutputMulti.

References

Lionel Cucala and Michaël Genin and Florent Occelli and Julien Soula (2019). A Multivariate Nonparametric Scan Statistic for Spatial Data. Spatial statistics, 29, 1-14.

HDSpatialScan documentation built on May 31, 2023, 7:52 p.m.