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 151 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 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 2,519 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. 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