tmle_MSM: Make MSM version of Stratified TML estimator class
In jeremyrcoyle/tmle3: The Extensible TMLE Framework
View source: R/tmle3_Spec_MSM.R
tmle_MSM R Documentation
Make MSM version of Stratified TML estimator class
Description
O=(W,A,Y)
W=Covariates
A=Treatment (binary or categorical)
Y=Outcome (binary or bounded continuous)
Usage
tmle_MSM(weight = "Cond.Prob.", n_samples = 30)
Arguments
weight
h(A, V)
n_samples
number of samples to draw for each observation if A is continuous
jeremyrcoyle/tmle3 documentation built on May 20, 2022, 7:36 a.m.
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View source: R/tmle3_Spec_MSM.R
| tmle_MSM | R Documentation |
Make MSM version of Stratified TML estimator class
Description
O=(W,A,Y) W=Covariates A=Treatment (binary or categorical) Y=Outcome (binary or bounded continuous)
Usage
tmle_MSM(weight = "Cond.Prob.", n_samples = 30)
Arguments
weight |
h(A, V) |
n_samples |
number of samples to draw for each observation if A is continuous |
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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