| MuChPoint {MuChPoint} | R Documentation | 
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,   | 
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,   | 
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)
[Package MuChPoint version 0.6.3 Index]