sensmediation
Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects
We implement functions to estimate and perform sensitivity analysis to unobserved confounding of direct and indirect effects introduced in Lindmark, de Luna and Eriksson (2018) doi:10.1002/sim.7620 and Lindmark (2022) doi:10.1007/s10260-021-00611-4. The estimation and sensitivity analysis are parametric, based on probit and/or linear regression models. Sensitivity analysis is implemented for unobserved confounding of the exposure-mediator, mediator-outcome and exposure-outcome relationships.
- Version0.3.1
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- sensmediation citation info
- Last release09/26/2024
Documentation
Team
Anita Lindmark
Insights
Last 30 days
This package has been downloaded 140 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 7 times.
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Last 365 days
This package has been downloaded 1,914 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 29, 2024 with 44 downloads.
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Dependencies
- Imports2 packages
- Suggests1 package