MC_gSAM: wrap models to test WAPL This peforms Monte Carlo simulation...
In sambiostat/WAPL: What the Package Does (One Line, Title Case)

wrap models to test WAPL This peforms Monte Carlo simulation for a given scenario, comparing 6 models together

MC_gSAM(
  n.rep = 100,
  N = 400,
  sgm = 0.1,
  sim.seed = 425,
  group = NULL,
  s = 1,
  PosX.idx = c(1, 2, 3),
  m = 10,
  lambda = NULL,
  nlambda = 100,
  lambda.min.ratio = 0.2,
  splineP = c(3:10),
  sgm_list = c(0.01, 0.05, 0.1, 1)
)

`n.rep:`	number of Monte Carlo simulation
`N:`	sample size for training data
`sgm:`	noise
`sim.seed:`	simulation seed
`group:`	group information, length n vector, if NULL, then no group selection applies
`s:`	scenario
`PosX.idx:`	true prognostic variable index
`m:`	numer of fold for cross validation
`lambda:`	A user supplied lambda sequence(ordered in decreasing value). Normally set it to null so the computing algorithm calculate it automatically.
`nlambda:`	number of lambda, default is 50
`lambda.min.ratio:`	the ration between max lambda and minimal lambda
`splineP:`	Candidate value of number of basis, default is c(3:10)
`sgm_list:`	Candidate value sigma, used in rbf kernel for OWL/RWL