estimate_tmle: Get TMLE estimate: E[Y | A = 1, W].
In ck37/varImpact: Variable Importance Estimation Using Targeted Causal Inference (TMLE)
View source: R/estimate_tmle.R
estimate_tmle R Documentation
Get TMLE estimate: E[Y | A = 1, W].
Description
Get TMLE estimate: E[Y | A = 1, W].
Usage
estimate_tmle(Y, A, W, family, delta = NULL, Q.lib, g.lib, verbose = F)
Arguments
Y
Outcome variable
A
Treatment indicator
W
Dataframe of adjustment covariates
family
Binomial or gaussian
delta
Indicator of missing outcome or treatment assignment. 1 - observed, 0 - missing.
Q.lib
SuperLearner library for estimating Q (potential outcome)
g.lib
SuperLearner library for estimating g (propensity score)
verbose
If true output extra information during execution.
ck37/varImpact documentation built on June 26, 2022, 4:02 a.m.
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.
View source: R/estimate_tmle.R
| estimate_tmle | R Documentation |
Get TMLE estimate: E[Y | A = 1, W].
Description
Get TMLE estimate: E[Y | A = 1, W].
Usage
estimate_tmle(Y, A, W, family, delta = NULL, Q.lib, g.lib, verbose = F)
Arguments
Y |
Outcome variable |
A |
Treatment indicator |
W |
Dataframe of adjustment covariates |
family |
Binomial or gaussian |
delta |
Indicator of missing outcome or treatment assignment. 1 - observed, 0 - missing. |
Q.lib |
SuperLearner library for estimating Q (potential outcome) |
g.lib |
SuperLearner library for estimating g (propensity score) |
verbose |
If true output extra information during execution. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.