R Observatory: Metrics for FunSurv version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FunSurv

1.0.0Package record

Modeling Time-to-Event Data with Functional Predictors

0packages depend

2.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Zifang KongCRAN page ↗GitHub ↗Issues ↗

A collection of methods for modeling time-to-event data using both functional and scalar predictors. It implements functional data analysis techniques for estimation and inference, allowing researchers to assess the impact of functional covariates on survival outcomes, including time-to-single event and recurrent event outcomes.

Changes in 1.0.0

Initial CRAN submission.

From NEWS.md in the release

Install

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

install.packages("FunSurv", 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("zifangkong/FunSurv")

Development version from zifangkong/FunSurv. 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-funsurv

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-FunSurv

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-FunSurv

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

13OK

CRAN check page ↗

Slowest check: 2.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

README· In the repository, left out of the releaseVignettes· In the repository, left out of the releaseNEWSYes · 67% structured · mentions 1.0.0Citation fileNo

Help pages: 7 (1 internal)
Examples that run: 100%4 run in a plain check
Exported functions with examples: 60%
Documented parameters: 100%
Return-value docs: 80%
Help pages citing references: 0%

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #23,619 · ~6/day · ~175/mo

Releases R versions

Daily download trend is not available in this view yet.

19030 days

53990 days

2.1K1 year

Compare downloads with other packages →

Also on65 r2u4 autocran

How downloads are counted

Repository

zifangkong/funsurv ↗Account: zifangkong

1Stars

0Forks

0Open issues

0Open PRs

0Releases

170Commits

2Commit identities

170 commits · Last activity 2025-03-13 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-01-09 · 12026-07-07 · 1

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/zifangkong/funsurv on 2026-10-18.

Continuous integration (1)

GitHub Actions

Docs source (2)

README.Rmd

GitHub Pages site last deployed 2025-03-13

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing FunSurv adds 32 packages (18 with compiled code, 29 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fields 3.9 MB, spam 3.1 MB.

Depends (1)

R >= 3.5.0

Imports (7)

MFPCAMASSfunDataMatrixggplot2methodsreda (>= 0.5.0)

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Zifang Kong

Author, Maintainer since 1.0.0 (2025)

Sy Han (Steven) Chiou

Author

Yu-Lun Liu

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.0Latest
record
2025-03-17 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-03-17
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 10 KB / 1 file
Download size: 23 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FunSurv")

Format

Kong, Z., Chiou, S. H. (., & Liu, Y. (2025). FunSurv: Modeling Time-to-Event Data with Functional Predictors (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.FunSurv

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 FunSurv version 1.0.0 [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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