Nothing
ALassoSurvIC: Adaptive Lasso for the Cox Regression with Interval Censored and Possibly Left Truncated Data
Penalized variable selection tools for the Cox proportional hazards model with interval censored and possibly left truncated data. It performs variable selection via penalized nonparametric maximum likelihood estimation with an adaptive lasso penalty. The optimal thresholding parameter can be searched by the package based on the profile Bayesian information criterion (BIC). The asymptotic validity of the methodology is established in Li et al. (2019 <doi:10.1177/0962280219856238>). The unpenalized nonparametric maximum likelihood estimation for interval censored and possibly left truncated data is also available.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Chenxi Li, Daewoo Pak and David Todem |
| Maintainer | Daewoo Pak <heavyrain.pak@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the ALassoSurvIC package in your browser
Any scripts or data that you put into this service are public.
