# MuChPoint-proc: MuChPoint fitting procedure In MuChPoint: Multiple Change Point

## Description

Produce a block-wise estimation of a symmetric matrix.

## Usage

 `1` ```MuChPoint(Y, Lmax = nrow(Y)/2, N = NULL, cores = 1, verbose = TRUE) ```

## Arguments

 `Y` symmetric matrix of observations. `Lmax` a positive integer less than number of columns (and number of rows). By default, `nrow(Y)/2`. `N` a positive integer vector less than number of columns (and number of rows). N is used when the break-points are known. By default, `NULL`. `cores` a positive integer giving the number of cores used. If you use windows, the parallelization is impossible. By default, 1. `verbose` logical. To display the progression bars. By default TRUE.

## References

Article: BRAULT V., OUADAH S., SANSONNET L. and LEVY-LEDUC C. Nonparametric homogeneity tests and multiple change-point estimation for analyzing large Hi-C data matrices. Journal of Multivariate Analysis, 2017

## Examples

 ```1 2 3 4 5 6 7``` ```require(MuChPoint) mu=c(rep(c(rep(1,25),rep(0,25)),3))%*%t(rep(c(rep(0,25),rep(1,25)),3)) Y=matrix(rnorm(150^2,0,5),150)+mu+t(mu) Y=as.matrix(Matrix::forceSymmetric(Y)) res=MuChPoint(Y) plot(res,Y,L=5,shiny=FALSE) plot(res,Y,L=1:5,shiny=FALSE,ask=FALSE) ```

MuChPoint documentation built on May 2, 2019, 9:38 a.m.