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groupedSurv

1.0.5.1Package record

Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function

0packages depend
3.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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).

Changes in 1.0.5.1
  • Fixed version number

From NEWS in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Alexander Sibley <dcibioinformatics@duke.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  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.

CRAN check page ↗

Slowest check: 4.6 min · r-devel-windows-x86_64
Status changes
  • 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
Show 4 earlier changesHide 4 earlier changes
  • 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
Advisories

none known

Documentation

In release 1.0.5.1
READMENoVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 1.0.5.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
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%
Vignettes (1)

Downloads

3.3K
CRAN downloads in the past year
Rank #11,865 · ~9/day · ~277/mo
Daily download trend is not available in this view yet.
37130 days
91190 days
3.3K1 year
Compare downloads with other packages →
Also on349 r2u

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

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.

Depends (0)
none
Imports (5)
LinkingTo (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (9)
Author
Contributor · added in 1.0.5
Contributor
Contributor
Contributor

Maintainer since 1.0.4.2 (2020), previously Jiaxing Lin (1.0.0 to 1.0.4.1)

Releases (10)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.5.1Latest
    record
    2023-09-28 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-01-25
  • 1.0.5
    record
    2023-01-25 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 10 exports
    alphaEstFam, betaEst, betaEstFam, geneStat, groupedSurv, groupedSurvFam, PvalueFam, thetaEst, varEstFam, varLLFam
  • archivedRemoved from CRAN
    2023-01-24
    issues were not corrected in time
  • 1.0.4.3
    record
    2022-08-05 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.4.2
    record
    2020-11-12 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.4.1
    record
    2020-02-02 · diff ↗
  • 1.0.4
    record
    2019-12-02 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
Show 5 earlier eventsHide 5 earlier events

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for groupedSurv version 1.0.5.1 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

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.

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