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DESCRIPTION
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DESCRIPTION
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Package: npOddsRatio
Type: Package
Title: Semiparametric Targeted Maximum-Likelihood estimation of the conditional odds ratio in a partially-linear logistic-link regression model with post-treatment informative missingness.
Version: 0.1.0
Author: Lars van der Laan
Maintainer: Lars van der Laan <vanderlaanlars@yahoo.com>
Description: Utilizing the framework of Targeted Maximum-Likelihood estimation (TMLE), efficient estimates and inference is given for the conditional odds ratio in a partially-linear logistic-link regression model with post-treatment informative missingness.
The user can supply an arbitrary parametric form of the conditional log odds ratio. Estimates and confidence intervals are returned.
Nuisance functions can be estimated using machine-learning (specifically the machine-learning pipeline R package sl3) ,thereby avoiding biases due to model misspecification.
This package allows for the outcome missingness to informed by pre-treatment variables W and the treatment (See function npOR), or through pre-treatment variables, treatment, and post-treatment variables (see function npORMissing).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports:
sl3,
hal9001,
stats,
data.table,
R6,
doMC
Depends:
sl3,
hal9001,
stats,
data.table,
R6
RoxygenNote: 7.1.1
Remotes: github::tlverse/hal9001@devel, github::tlverse/sl3@devel