SNAL.calculation: Sparse Normal/Adaptive lasso method for finding associated...

In PAGWAS: Pathway Analysis Methods for Genomewide Association Data

Description

For more details please read SNAL.

Usage

SNAL.calculation(Y, Phi, s2)

Arguments

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

Value

gamma.star	Estimates of gamma hyper-parameters
ARD	Posterior estimates of beta coefficients

References

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

See Also

SNAL

Examples

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

PAGWAS documentation built on May 2, 2019, 3:26 p.m.