optic
Simulation Tool for Causal Inference Using Longitudinal Data
Implements a simulation study to assess the strengths and weaknesses of causal inference methods for estimating policy effects using panel data. See Griffin et al. (2021) doi:10.1007/s10742-022-00284-w and Griffin et al. (2022) doi:10.1186/s12874-021-01471-y for a description of our methods.
- Version1.0.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release08/08/2023
Documentation
Team
Pedro Nascimento de Lima
Joseph Pane
Show author detailsRolesAuthorBeth Ann Griffin
Show author detailsRolesAuthor, Copyright holderMax Griswold
Show author detailsRolesAuthorAdam Scherling
Show author detailsRolesAuthorGeoffrey Grimm
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 165 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.
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 1,724 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 Jan 03, 2025 with 22 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
- Imports11 packages
- Suggests3 packages