Fit a cross-validated penalized Cox model — surv_penalized • bulkMAE

Fit a cross-validated penalized Cox model

Usage

surv_penalized(
  x,
  experiment,
  time,
  event,
  assay,
  features = NULL,
  alpha = 1,
  folds = 10,
  seed = NULL,
  ...
)

Arguments

x: A MultiAssayExperiment object.
experiment: Optional experiment name.
time, event: Metadata columns containing follow-up time and event.
assay: Assay name or one-based assay index.
features: Optional expression feature subset.
alpha: Elastic-net mixing parameter.
folds: Number of cross-validation folds.
seed: Optional local random seed used while constructing folds.
...: Additional arguments passed to glmnet::cv.glmnet().

Value

A native cv.glmnet object.