R Observatory: Metrics for SensIAT version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SensIAT

0.3.0

Sensitivity Analysis for Irregular Assessment Times

0packages depend

5.5Kdownloads / year

52.5%test coverage

13/13checks pass

Overview

About

Maintained by Andrew ReddFirst published 2024-11-014 releasesCRAN page ↗GitHub ↗

Sensitivity analysis for trials with irregular and informative assessment times, based on a new influence function-based, augmented inverse intensity-weighted estimator.

Install

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

install.packages("SensIAT", 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("UofUEpiBio/SensIAT")

Development version from UofUEpiBio/SensIAT. 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-sensiat

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-SensIAT

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-SensIAT

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.20

52.5%

Coverage · measured lines

100%

Documentation · exports

20

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 45 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 62%
Documented parameters: 96%
Return-value docs: 80%
References docs: 0%

Downloads

5.5K

CRAN downloads in the past year

Rank #9,199 · ~15/day · ~456/mo

Releases R versions

Daily download trend is not available in this view yet.

16030 days

1K90 days

5.5K1 year

Compare downloads with other packages →

Also on388 r2u1 autocran

Repository

GitHub ↗ uofuepibio/sensiat

2Stars

0Forks

6Open issues

3Open PRs

4Releases

364Commits

8Contributors

364 commits · Last activity 2026-07-01 · 0% stars, 30d

Stars over time

2025-11-10 · 12026-07-07 · 2

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/uofuepibio/sensiat on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (2)

MakefileDev Container

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Show all practices

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: copilot on 2025-12-15

copilot

Most recent: copilot on 2025-12-15

Evidence

copilot: on 2025-12-15 · evidence A, PR · sole bot-author seen

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

23 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.4.0

Imports (20)

assertthat dplyr generics ggplot2 glueKernSmoothMASSMAVEmethodsorthogonalsplinebasis pracma purrr Rcpp (>= 1.0.12)rlangsplinesstatssurvivaltibble tidyrutils

LinkingTo (1)

Rcpp

Suggests (9)

dfoptim inline ManifoldOptim metR progress rmarkdown spelling testthat tidyverse

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (8)

Maintainer (1)

Andrew Redd

Author, Maintainer

Authors (6)

Author, Maintainer

Author

pdr, Author

Author

Author · added in 0.2.0

Shu Yang

Author

Contributors (1)

Agatha Mallett

Contributor, Contractor

Copyright holders (1)

University of Utah

Copyright holder

Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.3.0Latest
2025-09-05 · current release · diff ↗
0.2.0
2025-08-18 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.1
2024-11-17 · diff ↗
0.1.0
2024-11-01
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-11-01
Total releases: 4 / 2 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.4.0
Bundled data: 7.5 KB / 2 files
Download size: 70 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SensIAT")

Format

Redd, A., University of Utah, Gao, Y., Mallett, A., Scharfstein, D., Smith, B., Varadhan, R., & Yang, S. (2025). SensIAT: Sensitivity Analysis for Irregular Assessment Times (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SensIAT

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 SensIAT version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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