Complete an EARL Analysis
Complete an EARL Analysis
.newEARL( moPropen, moMain, moCont, data, response, txName, lambdas, cvFolds, surrogate, iter, guess, kernel, fSet, suppress, ... )
moPropen |
modelObj for propensity modeling |
moMain |
modelObj for main effects of outcome model |
moCont |
modelObj for contrasts of outcome model |
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 |
surrogate |
Surrogate object |
iter |
Maximum iterations for outcome regression |
guess |
optional numeric vector providing starting values for optimization methods |
kernel |
Kernel object or SubsetList |
fSet |
NULL or function defining subset rules |
suppress |
T/F indicating if prints to screen are executed |
... |
Additional inputs for optimization |
txVec |
Tx vector recast as +/- 1 |
An EARL object
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