DynTxRegime: createowl – R documentation

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createowl

Create method object for Outcome Weighted Learning

Create method object for Outcome Weighted Learning

.createowl(..., kernel, txVec, response, prWgt, surrogate, guess = NULL, mu)

`kernel`	Kernel object
`txVec`	Vector of tx coded as -1/1
`response`	Vector of responses
`prWgt`	Vector of propensity for tx received
`surrogate`	Surrogate object indicating surrogate loss-function
`guess`	Vector of estimated regime parameters
`mu`	Matrix of outcome regression (zero/ignored)

An .owl object

Methods for Estimating Optimal Dynamic Treatment Regimes

v4.10

GPL-2

Authors

S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis

Initial release

2022-06-05