Description Usage Arguments Value References See Also Examples

View source: R/SNAL.calculation.R

For more details please read `SNAL.`

1 | ```
SNAL.calculation(Y, Phi, s2)
``` |

`Y` |
Response vector of length N |

`Phi` |
Design matrix, with N rows and M columns (number of tested variables) |

`s2` |
Variance assumed for the response variable, the tuning parameter of the adaptive lasso problem |

`gamma.star` |
Estimates of gamma hyper-parameters |

`ARD` |
Posterior estimates of beta coefficients |

Evangelou, M., Dudbridge, F., Wernisch, L. (2014). Two novel pathway analysis methods based on a hierarchical model. Bioinformatics, 30(5), 690 - 697

Wipf, D. and Nagarajan, S. (2008). A new view of automatic relevance determination. Advances in Neural Information Processing Systems, 20

1 | ```
## Not run: SNAL.calculation(Y,Phi,s2=0.5)
``` |

PAGWAS documentation built on May 30, 2017, 6:40 a.m.

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