fit_least_fav_submodel: Least Favorable Submodel
In blind-contours/CVtreeMLE: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
fit_least_fav_submodel R Documentation
Least Favorable Submodel
Description
Least Favorable Submodel
Usage
fit_least_fav_submodel(h_aw, data, y, qbar_aw, qbar_1w)
Arguments
h_aw
numeric vector of values for the clever covariate
data
dataframe that includes treatement/exposure
y
Outcome variable
used in the fluctuation model
qbar_aw
Initial predictions for Y|A,W - A being observed A
qbar_1w
Initial predictions for Y|A = 1,W - A being deterministically
set to 1
Details
Does flucutation of initial outcome estimates using a least
favorable submodel in the TMLE update step
Value
A numeric vector of the same length as vals, where
the returned values are bounded to machine precision. This is intended to
avoid numerical instability issues.
blind-contours/CVtreeMLE documentation built on June 22, 2024, 8:53 p.m.
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| fit_least_fav_submodel | R Documentation |
Least Favorable Submodel
Description
Least Favorable Submodel
Usage
fit_least_fav_submodel(h_aw, data, y, qbar_aw, qbar_1w)
Arguments
h_aw |
|
data |
dataframe that includes treatement/exposure |
y |
Outcome variable used in the fluctuation model |
qbar_aw |
Initial predictions for Y|A,W - A being observed A |
qbar_1w |
Initial predictions for Y|A = 1,W - A being deterministically set to 1 |
Details
Does flucutation of initial outcome estimates using a least favorable submodel in the TMLE update step
Value
A numeric vector of the same length as vals, where
the returned values are bounded to machine precision. This is intended to
avoid numerical instability issues.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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