Description Usage Arguments Value

Applies a single marker score test of *H_{0}:β_{G}=0* for each
locus in G. Run time is reduced by assuming that the surrogate phenotype
does not depend on genotype, allowing for re-use of the null model.

1 | ```
rScore.scs(Y, D.t, D.s, G, parallel = F)
``` |

`Y` |
Phenotype matrix (target, surrogate) |

`D.t` |
Target design matrix. |

`D.s` |
Surrogate design matrix. |

`G` |
Obs by locus genotype matrix. |

`parallel` |
Run in parallel? Must register parallel backend first. |

Matrix with one row per column of G. Each row includes the score statistic, the degrees of freedom, and a p-value based on the chi-square distribution.

zrmacc/SCS documentation built on March 19, 2018, 3:10 a.m.

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