seqimpute
Imputation of Missing Data in Sequence Analysis
Multiple imputation of missing data present in a dataset through the prediction based on either a random forest or a multinomial regression model. Covariates and time-dependent covariates can be included in the model. The prediction of the missing values is based on the method of Halpin (2012) https://researchrepository.ul.ie/articles/report/Multiple_imputation_for_life-course_sequence_data/19839736.
- Version2.1.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/13/2024
Documentation
Team
Kevin Emery
Andre Berchtold
Show author detailsRolesAuthorAnthony Guinchard
Show author detailsRolesAuthorKamyar Taher
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
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
Binaries
Dependencies
- Imports16 packages
- Suggests3 packages