R Observatory: Metrics for CoxRidge version 0.9.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2020-08-21. Its history is shown below.

Reason: email to the maintainer bounced when asked for a correction

Details below reflect version 0.9.2, its last release before removal.

CoxRidge

0.9.2Package record

Cox Models with Dynamic Ridge Penalties

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Aris PerperoglouCRAN page ↗

A package for fitting Cox models with penalized ridge-type partial likelihood. The package includes functions for fitting simple Cox models with all covariates controlled by a ridge penalty. The weight of the penalty is optimised by using a REML type-algorithm. Models with time varying effects of the covariates can also be fitted. Some of the covariates may be allowed to be fixed and thus not controlled by the penalty. There are three different penalty functions, ridge, dynamic and weighted dynamic. Time varying effects can be fitted without the need of an expanded dataset.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/CoxRidge/CoxRidge_0.9.2.tar.gz"
pkgFile <- "CoxRidge_0.9.2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.9.2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.9.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9includes a package overview page
Examples that run: 100%7 run in a plain check
Exported functions with examples: 83%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 56%

How these are measured

Downloads

CoxRidge Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on118 c2d4u

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (2)

survivalsplines

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Aris Perperoglou

Contributor

Maintainer since 0.9.1 (2013)

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2020-08-21
email to the maintainer bounced when asked for a correction
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
R
R 3.2.0 released · 2015-04-16
0.9.2
record
2015-02-12 · diff ↗
R
R 3.1.0 released · 2014-04-10
0.9.1
record
2013-06-20
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2013-06-20
Total releases: 2 / 13 yrs
License: GPL (>= 2) OSI
Bundled data: 11 KB / 2 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CoxRidge")

Format

Perperoglou, A. (n.d.). CoxRidge: Cox Models with Dynamic Ridge Penalties (Version 0.9.2) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=CoxRidge

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CoxRidge version 0.9.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →