frailtyMMpen
Efficient Algorithm for High-Dimensional Frailty Model
The penalized and non-penalized Minorize-Maximization (MM) method for frailty models to fit the clustered data, multi-event data and recurrent data. Least absolute shrinkage and selection operator (LASSO), minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalized functions are implemented. All the methods are computationally efficient. These general methods are proposed based on the following papers, Huang, Xu and Zhou (2022) doi:10.3390/math10040538, Huang, Xu and Zhou (2023) doi:10.1177/09622802221133554.
- Version1.2.1
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/08/2023
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Team
Yunpeng Zhou
Jinfeng Xu
Show author detailsRolesContributorXifen Huang
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- Depends3 packages
- Imports1 package
- Linking To2 packages