cde_ipw: Initialize an IPW CDE estimator
In mattblackwell/DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings
cde_ipw R Documentation
Initialize an IPW CDE estimator
Description
Initializes the specification of a CDE estimator based on an
inverse probability weighting approach.
Usage
cde_ipw(hajek = TRUE, trim = c(0.01, 0.99))
Arguments
hajek
If TRUE, normalized weights will be used as in the
Hajek estimator. If FALSE, traditional IPW weights will be used.
trim
A vector of length 2 indicating what quantiles of the
propensity scores should be trimmed. By default this is c(0.01, 0.99) meaning that the top and bottom 1% of propensity scores are
trunctated to these quantiles. If NULL, no trimming occurs.
mattblackwell/DirectEffects documentation built on Oct. 10, 2024, 11:35 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.
| cde_ipw | R Documentation |
Initialize an IPW CDE estimator
Description
Initializes the specification of a CDE estimator based on an inverse probability weighting approach.
Usage
cde_ipw(hajek = TRUE, trim = c(0.01, 0.99))
Arguments
hajek |
If |
trim |
A vector of length 2 indicating what quantiles of the
propensity scores should be trimmed. By default this is |
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.