find.lambda: find.lambda
In lschen-stat/SNPath: Algorithms for pathway analysis using SNP data

Description Usage Arguments Details Value Note References See Also Examples

Find optimal lambda for a regularized regression

1 2	find.lambda(X, y, grp, weights=NULL, upper=1000, intercept=TRUE, eq.eSNP=TRUE, maxiter=100, tol= 0.001, method=c("AIC", "BIC"))

`X`	TBD
`y`	TBD
`grp`	TBD
`weights`	TBD
`upper`	TBD
`intercept`	TBD
`eq.eSNP`	TBD
`maxiter`	TBD
`tol`	TBD
`method`	TBD

Searches for optimal lambda that gives an AIC value near minimum. It tries a range of different lambda values when minimizing the penalized likelihood function, until finding a value that is not the maximum of the range. If the minimum AIC value is on the maximum edge of the range, it retries with a larger range.

return value TBD

TBD