eb_fun: eb_fun
In spencerwoody/saFAB: Selection-adjusted FAB inference
Description
Usage
Arguments
Details
Value
Author(s)
Description
Find empirical Bayes estimates of hyperparameters of spike-slab
prior by using marginal likelihood maximization
Usage
1
eb_fun(y)
Arguments
y
vector of oberservation
Details
Theta follows the spike-slab prior
Value
MMLE estimates of hyperparameters, the hessian matrix at
the MMLE estimate, and the convergence message
Author(s)
Spencer Woody
spencerwoody/saFAB documentation built on Feb. 18, 2020, 5:56 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Find empirical Bayes estimates of hyperparameters of spike-slab prior by using marginal likelihood maximization
Usage
1 | eb_fun(y)
|
Arguments
y |
vector of oberservation |
Details
Theta follows the spike-slab prior
Value
MMLE estimates of hyperparameters, the hessian matrix at the MMLE estimate, and the convergence message
Author(s)
Spencer Woody
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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