calc_vlogLR: Compute vector of loglikelihood ratio for data from ash fit
In stephens999/ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
calc_vlogLR R Documentation
Compute vector of loglikelihood ratio for data from ash fit
Description
Return the vector of log-likelihood ratios of the data
betahat, with standard errors betahatsd, for a given g() prior
on beta, or an ash object containing that, vs the null that g()
is point mass on 0
Usage
calc_vlogLR(g, data)
Arguments
g
the fitted g, or an ash object containing g
data
a data object, see set_data
stephens999/ashr documentation built on March 16, 2024, 3:02 a.m.
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| calc_vlogLR | R Documentation |
Compute vector of loglikelihood ratio for data from ash fit
Description
Return the vector of log-likelihood ratios of the data betahat, with standard errors betahatsd, for a given g() prior on beta, or an ash object containing that, vs the null that g() is point mass on 0
Usage
calc_vlogLR(g, data)
Arguments
g |
the fitted g, or an ash object containing g |
data |
a data object, see set_data |
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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