Perform Classification Step
Perform Classification Step
.optimalClass( moPropen, moMain, moCont, moClass, data, response, txName, iter, fSet, suppress, step )
moPropen |
model object(s) for propensity regression |
moMain |
model object(s) for main effects of outcome regression or NULL |
moCont |
model object(s) for contrasts of outcome regression or NULL |
moClass |
model object(s) for classification procedure |
data |
data.frame of covariates and treatment history |
response |
vector of responses |
txName |
character of column header of data containing tx |
iter |
maximum number of iterations for outcome regression or NULL |
fSet |
function defining subsets or NULL |
suppress |
T/F indicating screen printing preference |
step |
integer indicating step of algorithm |
an object of class OptimalClass
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