epi_mahdist: Identifies epimutations using Robust Mahalanobis distance
In isglobal-brge/EpiMutations: Robust outlier identification for DNA methylation data
epi_mahdist R Documentation
Identifies epimutations using Robust Mahalanobis distance
Description
This function identifies regions with CpGs being outliers
using the Minimum Covariance Determinant (MCD) estimator
(covMcd) to compute the Mahalanobis distance.
Usage
epi_mahdist(mixture, nsamp = c("best", "exact", "deterministic"))
Arguments
mixture
beta values matrix. Samples in columns and
CpGs in rows.
nsamp
the number of subsets used for initial estimates in the MCD.
It can be set as:
"best", "exact", or "deterministic".
Details
The implementation of the method here is based
on the discussion in this
thread of Cross Validated
Value
The function returns the computed Robust Mahalanobis distance.
isglobal-brge/EpiMutations documentation built on April 20, 2024, 9:05 a.m.
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| epi_mahdist | R Documentation |
Identifies epimutations using Robust Mahalanobis distance
Description
This function identifies regions with CpGs being outliers using the Minimum Covariance Determinant (MCD) estimator (covMcd) to compute the Mahalanobis distance.
Usage
epi_mahdist(mixture, nsamp = c("best", "exact", "deterministic"))
Arguments
mixture |
beta values matrix. Samples in columns and CpGs in rows. |
nsamp |
the number of subsets used for initial estimates in the MCD.
It can be set as:
|
Details
The implementation of the method here is based on the discussion in this thread of Cross Validated
Value
The function returns the computed Robust Mahalanobis distance.
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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