Description Usage Arguments Value
Calculates MCL coefficient estimates over a grid of (lam1, lam2) pairs
1 2 3 |
Z |
Otu matrix at group level |
W |
Otu matrix within groups |
y |
Outcome vector |
mu |
Lagrange scaling parameter; default 1 |
groups |
Vector of group membership per feature |
step |
Step-size; default 0.1 |
lam.seq |
Sequence of lambda values; default NULL |
lam.max |
Maximum lambda value; default NULL |
nlam |
Vector of length 2 indicating number of lambda values to test for lam1 and lam2; default (10, 10) |
min.frac |
Fraction of max.lam that the minimum lambda value should be; default 0.01 |
maxit |
Maximum number of iterations; default 10000 |
thresh |
Threshold for convergence; default 0.0001 |
std |
Logical indicating whether data should be standardized; default TRUE |
verbose |
Print lambdas as indicator of progress?; default FALSE |
List with intercept vector, beta matrix (q x (nlam1 x nlam2)), gamma matrix (p x (nlam1 x nlam2)), lambda sequence (list: lam1, lam2)
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