R Observatory: Metrics for LongitudinalEvalue version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LongitudinalEvalue

0.1.0

Sensitivity Analysis for Unmeasured Confounding in Longitudinal Studies

0packages depend

70downloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Andreas Kristian PedersenFirst published 2026-08-031 releasesCRAN page ↗

Evaluates the sensitivity of a given association to unmeasured confounding. The package consists of three functions. The first starts a 'shiny' app which assesses how strong a time-invariant confounder needs to be associated with the exposure and outcome to explain away a proposed causal association. The second and third functions simulate a time-dependent confounder over time either using a fit from the qmle() function from the 'yuima' package or directly using the observed effect estimate.

Install

R (CRAN)Fedora (COPR)openSUSE (OBS)

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

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

# 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-LongitudinalEvalue

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-LongitudinalEvalue

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

Health

CRAN checks

13OK

Slowest check: 3.4 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

8

Dependencies · direct

Check history

OK2026-08-04
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 75%
Documented parameters: 87%
Return-value docs: 100%
References docs: 25%

Downloads

70

CRAN downloads in the past year

Rank #24,746 · ~0/day · ~6/mo

LongitudinalEvalue Releases R versions

Daily download trend is not available in this view yet.

7030 days

7090 days

701 year

Compare downloads with other packages →

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (8)

ggplot2 yuimamethodsnp matrixStatsstatsrlang zoo

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown shiny bookdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Andreas Kristian Pedersen

Author, Maintainer

Authors (3)

Andreas Kristian Pedersen

Author, Maintainer

Kristian Debrabant

Author

Sören Möller

Author

Contributors (2)

Anna Mejldal

Contributor

Afsaneh M. Nejad

Contributor

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-08-03 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-03
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5
Bundled data: 0.8 KB / 1 file
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LongitudinalEvalue")

Format

Kristian Pedersen, A., Debrabant, K., Mejldal, A., Möller, S., & Nejad, A. M. (2026). LongitudinalEvalue: Sensitivity Analysis for Unmeasured Confounding in Longitudinal Studies (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LongitudinalEvalue

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 LongitudinalEvalue version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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