posterior_dist: Compute Posterior
In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
posterior_dist R Documentation
Compute Posterior
Description
Return the posterior on beta given a prior (g) that is
a mixture of normals (class normalmix) and observation
betahat ~ N(beta,sebetahat)
Usage
posterior_dist(g, betahat, sebetahat)
Arguments
g
a normalmix with components indicating the prior; works
only if g has means 0
betahat
(n vector of observations)
sebetahat
(n vector of standard errors/deviations of
observations)
Details
This can be used to obt
Value
A list, (pi1,mu1,sigma1) whose components are each k by n matrices
where k is number of mixture components in g, n is number of observations in betahat
ashr documentation built on Aug. 22, 2023, 1:07 a.m.
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| posterior_dist | R Documentation |
Compute Posterior
Description
Return the posterior on beta given a prior (g) that is
a mixture of normals (class normalmix) and observation
betahat ~ N(beta,sebetahat)
Usage
posterior_dist(g, betahat, sebetahat)
Arguments
g |
a normalmix with components indicating the prior; works only if g has means 0 |
betahat |
(n vector of observations) |
sebetahat |
(n vector of standard errors/deviations of observations) |
Details
This can be used to obt
Value
A list, (pi1,mu1,sigma1) whose components are each k by n matrices where k is number of mixture components in g, n is number of observations in betahat
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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