calculateEffectiveSamples: Estimated effective samples per feature
In HCBravoLab/metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
View source: R/calculateEffectiveSamples.R
calculateEffectiveSamples R Documentation
Estimated effective samples per feature
Description
Calculates the number of estimated effective samples per feature from the output
of a fitZig run. The estimated effective samples per feature is calculated as the
sum_1^n (n = number of samples) 1-z_i where z_i is the posterior probability a feature
belongs to the technical distribution.
Usage
calculateEffectiveSamples(obj)
Arguments
obj
The output of fitZig run on a MRexperiment object.
Value
A list of the estimated effective samples per feature.
See Also
fitZig MRcoefs MRfulltable
HCBravoLab/metagenomeSeq documentation built on March 17, 2024, 3:21 p.m.
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View source: R/calculateEffectiveSamples.R
| calculateEffectiveSamples | R Documentation |
Estimated effective samples per feature
Description
Calculates the number of estimated effective samples per feature from the output of a fitZig run. The estimated effective samples per feature is calculated as the sum_1^n (n = number of samples) 1-z_i where z_i is the posterior probability a feature belongs to the technical distribution.
Usage
calculateEffectiveSamples(obj)
Arguments
obj |
The output of fitZig run on a MRexperiment object. |
Value
A list of the estimated effective samples per feature.
See Also
fitZig MRcoefs MRfulltable
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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