montecarlo_sim_block: Monte Carlo Simulation Function

In hassan-abdallah/NeuroTDA: This package performs hypothesis testing for time series data using topological data analysis.

Description

This function computes a p-value using a monte carlo simulation with block sampling.

Usage

montecarlo_sim_block(distancemat, grouplabels, N, blocks, blocksize)

Arguments

distancemat	A distance matrix. The output of distance_mat()
grouplabels	A set of labels(indices) for one of the two groups in experiment.
levels	Two-column matrix encoding index information for two-level point-cloud grouping. First column is whole-block shuffling partition and second column is within-block shuffling partition.
N	The number of permutations to be performed.

Examples

montecarlo_sim_block()

hassan-abdallah/NeuroTDA documentation built on Nov. 29, 2021, 4:18 p.m.