comp_postprob: comp_postprob
In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
comp_postprob R Documentation
comp_postprob
Description
compute the posterior prob that each observation came
from each component of the mixture m,output a k by n vector of
probabilities computed by weighting the component densities by
pi and then normalizing
Usage
comp_postprob(m, data)
Arguments
m
mixture distribution with k components
data
details depend on the model
ashr documentation built on Aug. 22, 2023, 1:07 a.m.
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| comp_postprob | R Documentation |
comp_postprob
Description
compute the posterior prob that each observation came from each component of the mixture m,output a k by n vector of probabilities computed by weighting the component densities by pi and then normalizing
Usage
comp_postprob(m, data)
Arguments
m |
mixture distribution with k components |
data |
details depend on the model |
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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