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Genotype-Specific Survival Estimation

0packages depend
2.7Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees. We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function. The estimators are calculated via an expectation-maximization algorithm.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Baosheng Liang <liangbsunc@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Baosheng",
                      family = "Liang",
                      role = c("aut", "cre"),
                      email = "liangbsunc@gmail.com"),
               person(given = "Yuanjia",
                      family = "Wang",
                      role = "aut"),
               person(given = "Donglin",
                      family = "Zeng",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.7K
CRAN downloads in the past year
Rank #15,524 · ~7/day · ~223/mo
Daily download trend is not available in this view yet.
28730 days
78590 days
2.7K1 year
Compare downloads with other packages →
Also on93 r2u3 autocran141 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing GSSE adds 2 packages (2 with compiled code, 825 KB of source tarballs). Heaviest: zoo 675 KB, Iso 150 KB.

Depends (1)
R >= 3.0.1
Imports (4)
Isosplinesstatszoo
LinkingTo (0)
none
Suggests (1)
MASS
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (3)

Maintainer since 0.1 (2015)

Releases (1)
  • 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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1Latest
    2015-10-20 · current release
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-10-20
Total releases
1 / 11 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.1
Bundled data
2.9 KB / 2 files
Download size
14 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GSSE")

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 GSSE version 0.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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