MED-package: Nonparametric estimation of natural mediation effects by...
In MED: Mediation by Tilted Balancing
Description
Details
Author(s)
References
See Also
Description
This package provides a user-friendly interface for nonparametric efficient inference of natural mediation effects effects for observational data. The package provides point estimates for average treatment effects, natural direct effects and natural indirect effects. The package also allows inference by consistent variance estimators.
Details
Package: MED
Type: Package
Version: 0.1.0
Date: 2015-02-09
License: GPL (>= 2)
The package includes the following functions:
MED: Estimate the Natural Indirect and Direct Effects
summary.MED: summary method for class "MED"
Author(s)
Gary Chan, based on the ATE package developed together with Asad Haris.
Maintainer: Gary Chan <kcgchan@uw.edu>
References
Chan, K. C. G., Imai, K, Yam, S. C. P. and Zhang, Z. (2016). "Efficient Nonpmarametric Estimation of Causal Mediation Effects.", under review.
See Also
MED documentation built on May 2, 2019, 12:55 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.
Description Details Author(s) References See Also
Description
This package provides a user-friendly interface for nonparametric efficient inference of natural mediation effects effects for observational data. The package provides point estimates for average treatment effects, natural direct effects and natural indirect effects. The package also allows inference by consistent variance estimators.
Details
| Package: | MED |
| Type: | Package |
| Version: | 0.1.0 |
| Date: | 2015-02-09 |
| License: | GPL (>= 2) |
The package includes the following functions:
MED: | Estimate the Natural Indirect and Direct Effects |
summary.MED: | summary method for class "MED" |
Author(s)
Gary Chan, based on the ATE package developed together with Asad Haris.
Maintainer: Gary Chan <kcgchan@uw.edu>
References
Chan, K. C. G., Imai, K, Yam, S. C. P. and Zhang, Z. (2016). "Efficient Nonpmarametric Estimation of Causal Mediation Effects.", under review.
See Also
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.