estimate_prior: Estimate prior
In jhmarcus/bvashr: Bivariate Adaptive Shrinkage
Description
Usage
Arguments
Value
Description
estimates parameters of a bivariate ash prior using an
EM algorithim implemented in the ExtremeDeconvolution package
Usage
1
estimate_prior(X, S, K, rho = NA)
Arguments
X
n x 2 matrix of estimated effects
S
n x 2 matrix of std. errors
K
int of mixture components to use in EM
rho
double null correlation in beta_hats
Value
prior_res list from output of ExtremeDeconvolution
jhmarcus/bvashr documentation built on May 20, 2019, 4:09 p.m.
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Description Usage Arguments Value
Description
estimates parameters of a bivariate ash prior using an EM algorithim implemented in the ExtremeDeconvolution package
Usage
1 | estimate_prior(X, S, K, rho = NA)
|
Arguments
X |
n x 2 matrix of estimated effects |
S |
n x 2 matrix of std. errors |
K |
int of mixture components to use in EM |
rho |
double null correlation in beta_hats |
Value
prior_res list from output of ExtremeDeconvolution
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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