R Observatory: Metrics for bigSurvSGD version 0.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bigSurvSGD

0.0.1Package record

Big Survival Analysis Using Stochastic Gradient Descent

1packages depend

3.2Kdownloads / year

–test coverage

9/13flavors OK

Overview

About

Maintained by Aliasghar TarkhanCRAN page ↗GitHub ↗Issues ↗

Fits Cox model via stochastic gradient descent. This implementation avoids computational instability of the standard Cox Model when dealing large datasets. Furthermore, it scales up with large datasets that do not fit the memory. It also handles large sparse datasets using proximal stochastic gradient descent algorithm. For more details about the method, please see Aliasghar Tarkhan and Noah Simon (2020) arXiv:2003.00116v2.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bigSurvSGD", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("atarkhan/bigSurvSGD")

Development version from atarkhan/bigSurvSGD. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bigsurvsgd

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bigSurvSGD

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bigSurvSGD

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

4NOTE9OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Aliasghar Tarkhan <atarkhan@uw.edu>’

The Description field contains
  <arXiv:2003.00116v2>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespace in Imports field not imported from:
  ‘survival’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.8 min · r-devel-windows-x86_64

Status changes

NOTE9 OK, 4 NOTENow
NOTE10 OK, 4 NOTE2026-04-22
ERROR9 OK, 4 NOTE, 1 ERROR2026-04-18
NOTE10 OK, 4 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 6
Examples that run: 33%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 25%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 33%

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #11,832 · ~9/day · ~268/mo

Releases R versions

Daily download trend is not available in this view yet.

31230 days

92190 days

3.2K1 year

Compare downloads with other packages →

Also on375 r2u27 autocran

How downloads are counted

Repository

atarkhan/bigsurvsgd ↗Account: atarkhan

9Stars

3Forks

1Open issues

0Open PRs

0Releases

20Commits

1Commit identities

20 commits · Last activity 2020-08-30 · 0% stars, 30d · Default branch at 1.0.0, ahead of CRAN 0.0.1 (checked 2026-10-22)

Responsiveness

not measured

Stars over time

2021-01-25 · 72026-07-07 · 9

How these are measured

PracticesBeta

Checks run against github.com/atarkhan/bigsurvsgd on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing bigSurvSGD adds 8 packages (3 with compiled code, 16 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, iterators 293 KB.

Depends (3)

R >= 3.5.0foreachparallel

Imports (4)

Rcpp bigmemory doParallelsurvival

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

bigPLScox

How these are counted

Code & Tests

Datasets

People & History

People (2)

Aliasghar Tarkhan

Author, Maintainer since 0.0.1 (2020)

Noah Simon

Author

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
0.0.1Latest
record
2020-10-01 · current release
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-10-01
Total releases: 1 / 6 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 196 KB / 2 files
Download size: 214 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bigSurvSGD")

Format

Tarkhan, A., & Simon, N. (2020). bigSurvSGD: Big Survival Analysis Using Stochastic Gradient Descent (Version 0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.bigSurvSGD

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 bigSurvSGD version 0.0.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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