SurvImpute
Multiple Imputation for Missing Covariates in Time-to-Event Data
Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release01/31/2025
Team
Qinghua Lian
MaintainerShow author detailsSoyoung Kim
Show author detailsRolesAuthorKwang Woo Ahn
Show author detailsRolesAuthorMichael J. Martens
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 144 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 288 times in the last 365 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The day with the most downloads was Feb 05, 2025 with 32 downloads.
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Dependencies
- Imports3 packages
- Suggests1 package