twangMediation
Twang Causal Mediation Modeling via Weighting
Provides functions for estimating natural direct and indirect effects for mediation analysis. It uses weighting where the weights are functions of estimates of the probability of exposure or treatment assignment (Hong, G (2010)). (Huber, M. (2014)). Estimation of probabilities can use generalized boosting or logistic regression. Additional functions provide diagnostics of the model fit and weights. The vignette provides details and examples.
- Version1.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release08/16/2022
Documentation
Team
Dan McCaffrey
Donna Coffman
Show author detailsRolesAuthorBrian Vegetabile
Show author detailsRolesAuthorKatherine Castellano
Show author detailsRolesAuthorMegan Schuler
Show author detailsRolesAuthorHaoyu Zhou
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 148 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,512 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 70 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports5 packages
- Suggests2 packages