Complete an OWL Analysis
.newOWL(
moPropen,
data,
response,
txName,
lambdas,
cvFolds,
kernel,
fSet,
surrogate,
suppress,
guess,
...
)An OWL object
modelObj for propensity modeling
data.frame of covariates
Vector of responses
Tx variable column header in data
Tuning parameter(s)
Number of cross-validation folds
Kernel object or SubsetList
NULL or function defining subset rules
Surrogate object
T/F indicating if prints to screen are executed
optional numeric vector providing starting values for optimization methods
Additional inputs for optimization