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cmpp: Direct Parametric Inference for the Cumulative Incidence Function in Competing Risks
Implements parametric (Direct) regression methods for modeling cumulative incidence functions (CIFs) in the presence of competing risks. Methods include the direct Gompertz-based approach and generalized regression models as described in Jeong and Fine (2006) <doi:10.1111/j.1467-9876.2006.00532.x> and Jeong and Fine (2007) <doi:10.1093/biostatistics/kxj040>. The package facilitates maximum likelihood estimation, variance computation, with applications to clinical trials and survival analysis.
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Package details |
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| Author | Habib Ezzatabadipour [aut, cre] |
| Maintainer | Habib Ezzatabadipour <habibezati@outlook.com> |
| License | GPL (>= 2) |
| Version | 0.0.2 |
| Package repository | View on CRAN |
| Installation |
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