GenomeScan-class {wISAM}

GenomeScan

Description

A Reference Class implementing a Genome Scan

Fields

Options

these are options

Data

Things the user inputs. They have interpretable meaning and define the GenomeScan. Currently: y, X, G, K, weights (inverse variances), and variances.

Intermediates_per_scan

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.

Intermediates_per_locus

Things the GenomeScan will compute once per locus. They are mathematical tools that can't really be interpreted. Currently: XG

Intermediates_per_fit

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

Results

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.