lossfunctionp: Loss function evaluation from architecture and data
In danjlawson/robustarchitecture: Estimate Genomic Architecture parameters using robust statistics
Description
Usage
Arguments
Value
See Also
View source: R/ArchitectureModel.R
Description
A convenience function to calculate summary statistics and evaluate their loss. Not recommended for regular use, for which direct inference via lossfunctionss and lossfunction is recommended.
Usage
1
lossfunctionp(s, ref)
Arguments
s
Genomic Architecture parameter for estimation
ref
A list containing: ref$dat: A data frame of (f,beta) pairs; ref$bins: the histogram bins to use; and ref$thresholds: the tail areas to compare (in s.d units).
Value
The loss as returned by lossfunction, run of the summary statistics returned by lossfunctionss.
See Also
fullsearch for inference.
danjlawson/robustarchitecture documentation built on Dec. 19, 2021, 8:09 p.m.
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Description Usage Arguments Value See Also
View source: R/ArchitectureModel.R
Description
A convenience function to calculate summary statistics and evaluate their loss. Not recommended for regular use, for which direct inference via lossfunctionss and lossfunction is recommended.
Usage
1 | lossfunctionp(s, ref)
|
Arguments
s |
Genomic Architecture parameter for estimation |
ref |
A list containing: ref$dat: A data frame of (f,beta) pairs; ref$bins: the histogram bins to use; and ref$thresholds: the tail areas to compare (in s.d units). |
Value
The loss as returned by lossfunction, run of the summary statistics returned by lossfunctionss.
See Also
fullsearch for inference.
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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