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adrftools

0.1.0Package record

Estimating, Visualizing, and Testing Average Dose-Response Functions

0packages dependsuggested by 2
17Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Facilitates estimating, visualizing, and testing average dose-response functions (ADRFs) for characterizing the causal effect of a continuous (i.e., non-discrete) treatment or exposure. Includes support for frequentist and Bayesian regression models, analytical and bootstrap inference, and characterization of subgroup effects.

Changes in 0.1.0
  • Initial CRAN submission.

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage:
  ‘effect_curve.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 9.9 min · r-oldrel-macos-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE11 OK, 2 NOTE2026-08-25
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-07-29
  • NOTE12 OK, 1 NOTE2026-07-11
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 677 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsiteYes · pkgdown
Help pages
12 (1 internal)includes a package overview page
Examples that run
100%10 run in a plain check (1 of them under a condition)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
8%

Downloads

17K
CRAN downloads in the past year
Rank #2,407 · ~47/day · ~1.4K/mo
Daily download trend is not available in this view yet.
2.3K30 days
6.7K90 days
17K1 year
Compare downloads with other packages →
Also on184 r2u31 autocran

Repository

2Stars
0Forks
1Open issues
0Open PRs
0Releases
24Commits
1Commit identities
24 commits · Last activity 2026-04-28 · 0% stars, 30d · Default branch at 0.1.0.9001, ahead of CRAN 0.1.0 (checked 2026-10-18)
Responsiveness
not measured

Stars over time

2025-12-04 · 12026-07-07 · 2
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/ngreifer/adrftools on 2026-10-18.

Continuous integration (1)
GitHub Actions
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-04-28 · The repository has a site deploy workflow

pkgdown site last built 2026-04-28

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing adrftools adds 29 packages (14 with compiled code, 29 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 2
Suggests, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-02-17 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-17
Total releases
1 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
28 KB / 1 file
Download size
1.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("adrftools")
Greifer, N. (2026). adrftools: Estimating, Visualizing, and Testing Average Dose-Response Functions (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.adrftools

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for adrftools version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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