SNAL.calculation {PAGWAS} | R Documentation |
For more details please read SNAL.
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
## Not run: SNAL.calculation(Y,Phi,s2=0.5)