Create a BOWL Object
Create a BOWL Object
.newBOWLStep( moPropen, fSet, data, response, txName, lambdas, cvFolds, kernel, surrogate, suppress, guess, prodPi, index, ... )
moPropen |
model object for propensity |
fSet |
function specifying subsets or NULL |
data |
data.frame of covariates and tx |
response |
vector of responses |
txName |
character indicating tx column in data |
lambdas |
vector of tuning parameters |
cvFolds |
number of cross-validation folds or NULL |
kernel |
Kernel object |
surrogate |
Surrogate object |
guess |
vector of starting value for regime parameterse |
prodPi |
vector of previous step propensity weights |
index |
vector indicating previous compliance with regime |
... |
additional inputs sent to optimization method |
BOWLBasic object
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