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cdf_conv

cdf_conv


Description

compute cdf of mixture m convoluted with error distribution either normal of sd (s) or student t with df v at locations x

Usage

cdf_conv(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

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