NPFSS: NPFSS scan procedure (univariate functional or multivariate...

In HDSpatialScan: Multivariate and Functional Spatial Scan Statistics

NPFSS scan procedure (univariate functional or multivariate functional)

Description

This function computes the NPFSS (Nonparametric Functional scan statistic for multivariate or univariate functional data).

Usage

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

Arguments

data	list of numeric matrices or a matrix. List of nb_sites (or nb_individuals if the observations are by individuals and not by site) matrices of the data, the rows correspond to the variables and each column represents an observation time (multivariate case) ; or Matrix of the data, the rows correspond to the sites (or to the individuals) and each column represents an observation time (univariate case). The times must be equally spaced and the same for each site/individual.
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. Ignored if the data is a matrix (univariate functional case).
times	numeric. Times of observation of the data. 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 ResScanOutputUniFunct or ResScanOutputMultiFunct depending on the data

References

Zaineb Smida and Lionel Cucala and Ali Gannoun and Ghislain Durif (2022). A Wilcoxon-Mann-Whitney spatial scan statistic for functional data. Computational Statistics & Data Analysis, 167.

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