PFSS {HDSpatialScan}

PFSS scan procedure

Description

This function computes the PFSS (Parametric Functional scan statistic).

Usage

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

Arguments

data

matrix. Matrix of the data, the rows correspond to the sites (or to the individuals if the observations are by individuals and not by sites) and each column represents an observation time. 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.

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.

References

Camille Frévent and Mohamed-Salem Ahmed and Matthieu Marbac and Michaël Genin (2021). Detecting Spatial Clusters in Functional Data: New Scan Statistic Approaches. Spatial Statistics, 46.