learnDevG: Estimation of Cond. Expect. of ((X==0)-gW)*effIC1 Given W

In tmle.npvi: Targeted Learning of a NP Importance of a Continuous Exposure

Description

Function for the estimation of the conditional expectation of ((X==0)-gW)*effIC1 given W when flavor is set to "learning".

Arguments

obs	The matrix of observations, see for instance the obs argument of the function tmle.npvi.
effIC1	The vector effIC1 of the first component of the efficient influence curve, as currently estimated, evaluated at our observations.
gW	The vector gW of the conditional probability that X=0 given W, as currently estimated, evaluated at our observations.
light	A logical, kept for compatibility, which should be set to TRUE (its default value). This requires that the result of each fit be reduced in size (for a faster execution). Currently implemented only for flavor learning.
verbose	Prescribes the amount of information output by the function. Defaults to FALSE.
...	Additional arguments possibly needed.

Value

Returns the fitted object.

Author(s)

Antoine Chambaz, Pierre Neuvial

See Also

learnG, learnMuAux, learnTheta, learnCondExpX2givenW, learnCondExpXYgivenW, learnDevMu, learnDevTheta

tmle.npvi documentation built on May 1, 2019, 6:50 p.m.