Package: SurvMA
Title: Model Averaging Prediction of Personalized Survival
        Probabilities
Version: 1.6.8
Authors@R: 
  c(
  person(given = "Mengyu",
         family = "Li",
         role = c("aut","cre"),
         email = "mylilucky@163.com",
         comment = c(ORCID = "0009-0008-4024-7573")),
  person(given = "Jie",
         family = "Ding",
         role = c("aut"),
         email = "biostat_jieding@outlook.com",
         comment = c(ORCID = "0000-0002-6083-7529")),
  person(given = "Xiaoguang",
         family = "Wang",
         role = c("aut"),
         email = "wangxg@dlut.edu.cn",
         comment = c(ORCID = "0000-0001-7391-9788"))
  )
Author: Mengyu Li [aut, cre] (<https://orcid.org/0009-0008-4024-7573>),
  Jie Ding [aut] (<https://orcid.org/0000-0002-6083-7529>),
  Xiaoguang Wang [aut] (<https://orcid.org/0000-0001-7391-9788>)
Maintainer: Mengyu Li <mylilucky@163.com>
Description: Provide model averaging-based approaches that can be used to predict personalized survival probabilities. The key underlying idea is to approximate the conditional survival function using a weighted average of multiple candidate models. Two scenarios of candidate models are allowed: (Scenario 1) partial linear Cox model and (Scenario 2) time-varying coefficient Cox model. A reference of the underlying methods is Li and Wang (2023) <doi:10.1016/j.csda.2023.107759>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: survival, maxLik, pec, quadprog, splines, methods
LazyData: TRUE
RoxygenNote: 7.2.3
URL: <https://github.com/Stat-WangXG/SurvMA>
NeedsCompilation: no
Packaged: 2024-09-22 08:14:28 UTC; biost
Repository: CRAN
Date/Publication: 2024-09-23 13:40:43 UTC
Built: R 4.6.0; ; 2026-04-26 03:13:25 UTC; unix
