KernSeg_MultiD_: KernSeg MultiD
In KernSeg: Kernel Based Segmentation
Description
Usage
Arguments
Author(s)
Description
Core function to call C code for the mD case
Usage
1
2
KernSeg_MultiD_(geno, Kmax, delta, min.size = 1, alpha = NULL,
kernel = "Gaussian", option = 0)
Arguments
geno
a matrix n x m
Kmax
maximum number of changes
delta
parameter of the kernel (delta.cn, delta.baf)
min.size
minimum size of a segment -1 (1 = no constraint 2 = at least 2)
alpha
some other parameter
kernel
kernel ("L2", "Gaussian")
option
for Mattesson divergence 0 or 1 (as Kernseg or as Ecp divide by n or n-1 per segment)
Author(s)
Guillem Rigaill
KernSeg documentation built on May 2, 2019, 5:26 p.m.
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Description Usage Arguments Author(s)
Description
Core function to call C code for the mD case
Usage
1 2 | KernSeg_MultiD_(geno, Kmax, delta, min.size = 1, alpha = NULL,
kernel = "Gaussian", option = 0)
|
Arguments
geno |
a matrix n x m |
Kmax |
maximum number of changes |
delta |
parameter of the kernel (delta.cn, delta.baf) |
min.size |
minimum size of a segment -1 (1 = no constraint 2 = at least 2) |
alpha |
some other parameter |
kernel |
kernel ("L2", "Gaussian") |
option |
for Mattesson divergence 0 or 1 (as Kernseg or as Ecp divide by n or n-1 per segment) |
Author(s)
Guillem Rigaill
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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