Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function
Overview
These 'Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the 'Cuba' library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent, 2002).
- Fixed version number
From NEWS in the release
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Alexander Sibley <dcibioinformatics@duke.edu>’
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Authors@R: c(person(given = "Jiaxing",
family = "Lin",
role = "aut"),
person(given = "Alexander",
family = "Sibley",
role = c("aut", "cre"),
email = "dcibioinformatics@duke.edu"),
person(given = "Tracy",
family = "Truong",
role = "aut"),
person(given = "Kouros",
family = "Owzar",
role = "aut"),
person(given = "Zhiguo",
family = "Li",
role = "aut"),
person(given = "Layne",
family = "Rogers",
role = "ctb"),
person(given = "Yu",
family = "Jiang",
role = "ctb"),
person(given = "Janice",
family = "McCarthy",
role = "ctb"),
person(given = "Andrew",
family = "Allen",
role = "ctb"))
as necessary.- NOTE11 OK, 2 NOTE2026-10-01
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-24
- NOTE11 OK, 2 NOTE2026-09-18
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-15
- NOTE11 OK, 2 NOTE2026-09-01
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- ERROR10 OK, 2 NOTE, 1 ERROR2026-08-25
- NOTE10 OK, 4 NOTE2026-04-22
- ERROR9 OK, 4 NOTE, 1 ERROR2026-04-18
- NOTE10 OK, 4 NOTE2026-03-10
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 36%
- groupedSurv PDF
Downloads
Dependencies
Installing groupedSurv adds 6 packages (2 with compiled code, 18 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB. 1 more not on CRAN is not measured.
Code & Tests
People & History
Maintainer since 1.0.4.2 (2020), previously Jiaxing Lin (1.0.0 to 1.0.4.1)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.5.1Latest
- RR 4.3.0 released · 2023-04-21
- unarchivedReturned to CRAN2023-01-25
- 1.0.52023-01-25 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+added 10 exports
alphaEstFam, betaEst, betaEstFam, geneStat, groupedSurv, groupedSurvFam, PvalueFam, thetaEst, varEstFam, varLLFam - archivedRemoved from CRAN2023-01-24issues were not corrected in time
- 1.0.4.32022-08-05 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.4.22020-11-12 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.4.12020-02-02 · diff ↗
- 1.0.42019-12-02 · diff ↗
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2018-05-11
- Total releases
- 10 / 8 yrs
- License
- GPL (>= 2) OSI
- Download size
- 313 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("groupedSurv")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1186/s12859-019-2899-x.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.