ldshrink: Obtain shrinkage estimates of correlation from output of...
In ldsep: Linkage Disequilibrium Shrinkage Estimation for Polyploids
ldshrink R Documentation
Obtain shrinkage estimates of correlation from output of
mldest() or sldest().
Description
This will take the output of either mldest() or
sldest(), shrink the Fisher-z transformed
correlation estimates using ash()
(Stephens, 2017; Dey and Stephens, 2018), then return
the corresponding correlation estimates. You can obtain estimates of
r^2 by just squaring these estimates.
Usage
ldshrink(obj, ...)
Arguments
obj
An object of class lddf, usually created using
either mldest() or sldest().
...
Additional arguments to pass to ash().
Value
A correlation matrix.
Author(s)
David Gerard
References
Stephens, Matthew. "False discovery rates: a new deal."
Biostatistics 18, no. 2 (2017): 275-294.
Dey, Kushal K., and Matthew Stephens. "CorShrink:
Empirical Bayes shrinkage estimation of correlations,
with applications." bioRxiv (2018): 368316.
ldsep documentation built on Oct. 19, 2022, 1:08 a.m.
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| ldshrink | R Documentation |
Obtain shrinkage estimates of correlation from output of
mldest() or sldest().
Description
This will take the output of either mldest() or
sldest(), shrink the Fisher-z transformed
correlation estimates using ash()
(Stephens, 2017; Dey and Stephens, 2018), then return
the corresponding correlation estimates. You can obtain estimates of
r^2 by just squaring these estimates.
Usage
ldshrink(obj, ...)
Arguments
obj |
An object of class |
... |
Additional arguments to pass to |
Value
A correlation matrix.
Author(s)
David Gerard
References
Stephens, Matthew. "False discovery rates: a new deal." Biostatistics 18, no. 2 (2017): 275-294.
Dey, Kushal K., and Matthew Stephens. "CorShrink: Empirical Bayes shrinkage estimation of correlations, with applications." bioRxiv (2018): 368316.
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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