WCE
Weighted Cumulative Exposure Models
A flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.
- Version1.0.3
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Reference manual
- Last release02/15/2024
Team
Marie-Pierre Sylvestre
MaintainerShow author detailsMichal Abrahamowicz
Show author detailsRolesContributorMarie-Eve Beauchamp
Show author detailsRolesContributorRyan Patrick Kyle
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 159 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 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 1,954 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 Sep 11, 2024 with 32 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
- Imports2 packages
- Suggests1 package