A Reference Class implementing a Genome Scan
these are options
Things the user inputs. They have interpretable meaning and define the GenomeScan. Currently: y, X, G, K, weights (inverse variances), and variances.
Things the GenomeScan will compute once per scan. They are mathetmatical tools that can't really be interpreted. Currently: L, eigen_L, and LL_null.
Things the GenomeScan will compute once per locus. They are mathematical tools that can't really be interpreted. Currently: XG
Things 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
The 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.
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