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