GenomeScan-class: GenomeScan
In wISAM: Weighted Inbred Strain Association Mapping
Description
A Reference Class implementing a Genome Scan
Fields
Optionsthese are options
DataThings the user inputs.
They have interpretable meaning and define the GenomeScan.
Currently: y, X, G, K, weights (inverse variances), and variances.
Intermediates_per_scanThings the GenomeScan will compute once per scan.
They are mathetmatical tools that can't really be interpreted.
Currently: L, eigen_L, and LL_null.
Intermediates_per_locusThings the GenomeScan will compute once per locus.
They are mathematical tools that can't really be interpreted.
Currently: XG
Intermediates_per_fitThings the GenomeScan will compute many times per locus (once per trial fit on that locus).
These are interpretable but rapidly changing and not guaranteed to be finalized or optimal.
Currently: M, LDV, and h2
ResultsThe results of the GenomeScan.
Currently: The h2 that maximizes the LL at each locus and the LR as compared with the no-locus (null) model.
wISAM documentation built on May 2, 2019, 9:14 a.m.
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Description
A Reference Class implementing a Genome Scan
Fields
Optionsthese are options
DataThings the user inputs. They have interpretable meaning and define the GenomeScan. Currently: y, X, G, K, weights (inverse variances), and variances.
Intermediates_per_scanThings the GenomeScan will compute once per scan. They are mathetmatical tools that can't really be interpreted. Currently: L, eigen_L, and LL_null.
Intermediates_per_locusThings the GenomeScan will compute once per locus. They are mathematical tools that can't really be interpreted. Currently: XG
Intermediates_per_fitThings the GenomeScan will compute many times per locus (once per trial fit on that locus). These are interpretable but rapidly changing and not guaranteed to be finalized or optimal. Currently: M, LDV, and h2
ResultsThe results of the GenomeScan. Currently: The h2 that maximizes the LL at each locus and the LR as compared with the no-locus (null) model.
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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