getPi: Calculate the mixture proportions from the zero model / spike...
In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
Description
Usage
Arguments
Value
See Also
Description
F(x) = 1 / (1 + exp(-(x-m)/s)) (the CDF of the logistic distribution).
Provides the probability that a real-valued random variable X with a given
probability distribution will be found at a value less than or equal to x.
The output are the mixture proportions for the samples given the residuals
from the zero model.
Usage
1
Arguments
residuals
Residuals from the zero model.
Value
Mixture proportions for each sample.
See Also
metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.
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Description Usage Arguments Value See Also
Description
F(x) = 1 / (1 + exp(-(x-m)/s)) (the CDF of the logistic distribution). Provides the probability that a real-valued random variable X with a given probability distribution will be found at a value less than or equal to x. The output are the mixture proportions for the samples given the residuals from the zero model.
Usage
1 |
Arguments
residuals |
Residuals from the zero model. |
Value
Mixture proportions for each sample.
See Also
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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