ashr: comp_postprob – R documentation

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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

Methods for Adaptive Shrinkage, using Empirical Bayes

v2.2-47

GPL (>= 3)

Authors

Matthew Stephens [aut], Peter Carbonetto [aut, cre], Chaoxing Dai [ctb], David Gerard [aut], Mengyin Lu [aut], Lei Sun [aut], Jason Willwerscheid [aut], Nan Xiao [aut], Mazon Zeng [ctb]

Initial release

2020-02-19

comp_postprob

Description

Usage

Arguments

ashr

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