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