blup: Best Linear Unbiased Predictions (BLUPs)
In RoBMA: Robust Bayesian Meta-Analyses
blup R Documentation
Best Linear Unbiased Predictions (BLUPs)
Description
Computes the estimated true effects (theta) from a
fitted model. These correspond to Best Linear Unbiased Predictions (BLUPs)
or empirical Bayes estimates.
Usage
blup(object, ...)
Arguments
object
a fitted model object
...
additional arguments passed to methods
Value
Method-specific return value, typically a summary table or
posterior samples of BLUP or empirical-Bayes true-effect summaries.
See Also
predict.brma()
RoBMA documentation built on May 7, 2026, 5:08 p.m.
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| blup | R Documentation |
Best Linear Unbiased Predictions (BLUPs)
Description
Computes the estimated true effects (theta) from a fitted model. These correspond to Best Linear Unbiased Predictions (BLUPs) or empirical Bayes estimates.
Usage
blup(object, ...)
Arguments
object |
a fitted model object |
... |
additional arguments passed to methods |
Value
Method-specific return value, typically a summary table or posterior samples of BLUP or empirical-Bayes true-effect summaries.
See Also
predict.brma()
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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