MonteCarloSimClass: R6 class for evaluating different plug-in estimators via...

In chizhangucb/tmleCommunity: Targeted Maximum Likelihood Estimation for Hierarchical Data

Description

MonteCarloSimClass only resamples A under the intervention function g_star, never W or E. For each MC simulation, it firstly treats model.Q.init as the fitted models for E[Y|A,W,E], then estimate psi_n using Monte-Carlo integration. i.e., average of n predicted E(Y|A=a, W=w,E=e) where a is a vector of n new exposures randomly drawn under g_star. Take as many iterations as needed until convergence of ψ^{I}_n (or ψ^{II}_n) occurs.

Usage

MonteCarloSimClass

Format

An R6Class generator object

Details

• OData.ObsP0 - A DatKeepClass class object, where exposures are generated under observed exposure mechanism g0.

• OData.gstar - A DatKeepClass class object, where new exposures are generated under user-specified intervention g^{*}.

• model.Q.init - A fitted model for E[Y|A,W,E].

• model.Q.star.cov - A targeting model for covariate-based unweighted TMLE.

• model.Q.star.int - A targeting model for intercept-based TMLE.

• QY.init - Estimates of G-COMP.

• QY.star.cov - Estimates of covariate-based unweighted TMLE.

• QY.star.int - Estimates of intercept-based TMLE.

• nobs - Number of observations in the observed data frame.

• p - Number of Monte-Carlo simulations performed.

Methods

new(OData.ObsP0, OData.gstar, ...)

Instantiate an new instance of MonteCarloSimClass.

get.gcomp(m.Q.init)

Predict QY.init = E[Y_{g^*}] based on the initial model fit model.Q.init.

get.tmleCov(model.Q.star.cov, model.h.fit)

Update QY.init based on the targeting model model.Q.star.cov and the model for clever covriate h model.h.fit.

get.tmleCov(model.Q.star.cov, model.h.fit)

Update QY.init based on the targeting model model.Q.star.cov and the model for clever covriate h model.h.fit.

get.tmleInt(model.Q.star.int)

Update QY.init based on the targeting model model.Q.star.int.

get.fiW()

Get an estimate of fiW (hold ALL W's fixed).

See Also

tmleCom_Options, DatKeepClass, RegressionClass, tmleCommunity

chizhangucb/tmleCommunity documentation built on May 20, 2019, 3:34 p.m.