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NPMLENCC: Non-Parametric Maximum Likelihood Estimate for Cohort Samplings
To compute the non-parametric maximum likelihood estimates (NPMLEs) and penalized NPMLEs with SCAD, HARD and LASSO penalties for nested case-control or case-cohort sampling design with time matching under Cox's regression model. It also proposes the standard error formula for estimator using observed profile likelihood. For details about (penalized) NPNLEs see the original paper "Penalized Full Likelihood Approach to Variable Selection for Cox's Regression Model under Nested Case-Control Sampling" by Wang et al. (2019) <doi:10.1007/s10985-019-09475-z>.
Getting started
Browse package contents
Package details |
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| Author | Jie-Huei Wang, Chun-Hao Pan, I-Shou Chang, and Chao A. Hsiung |
| Maintainer | Jie-Huei Wang <jhwang@stat.sinica.edu.tw> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
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