HQM
Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Provides a nonparametric smoothed kernel estimator for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025) doi:10.1093/biomet/asaf008.
- Version1.0
- R versionR (≥ 3.5.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release02/01/2025
Team
Dimitrios Bagkavos
MaintainerShow author detailsCecile Proust-Lima
Show author detailsRolesContributorAlex Isakson
Show author detailsRolesContributorJens Nielsen
Show author detailsRolesContributorEnno Mammen
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 243 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 8 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 3,317 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 26, 2024 with 54 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.
Data provided by CRAN
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Dependencies
- Imports5 packages