MuChPoint-proc: MuChPoint fitting procedure

In MuChPoint: Multiple Change Point

MuChPoint fitting procedure

Description

Produce a block-wise estimation of a symmetric matrix.

Usage

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

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=1:10,shiny=FALSE,ask=FALSE)

MuChPoint documentation built on April 8, 2022, 5:08 p.m.