gmm_mad: Computes weighted median absolute deviations (MADs) for each...
In lculibrk/Ploidetect: Ploidetect - Detection of tumour purity, aneuploidy, and copy number variation from whole genome sequnce data
View source: R/misc_functions.R
gmm_mad R Documentation
Computes weighted median absolute deviations (MADs) for each component of a
gaussian mixture model
Description
gmm_mad returns the weighted median absolute deviation of data fit to
the specified mixture model
Usage
gmm_mad(data, means, variances)
Arguments
data
(numeric) vector of values to compute the MAD over
means
(numeric) vector of means for the mixture moel
variances
(numeric) vector of gaussian variances, either length one
or equal to the length of means
Value
a single numeric of the MAD for the model
Examples
gmm_mad(0:5, c(1, 5), 2)
lculibrk/Ploidetect documentation built on May 18, 2023, 5:53 p.m.
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View source: R/misc_functions.R
| gmm_mad | R Documentation |
Computes weighted median absolute deviations (MADs) for each component of a gaussian mixture model
Description
gmm_mad returns the weighted median absolute deviation of data fit to
the specified mixture model
Usage
gmm_mad(data, means, variances)
Arguments
data |
(numeric) vector of values to compute the MAD over |
means |
(numeric) vector of means for the mixture moel |
variances |
(numeric) vector of gaussian variances, either length one or equal to the length of means |
Value
a single numeric of the MAD for the model
Examples
gmm_mad(0:5, c(1, 5), 2)
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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