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Detection and Attribution Analysis of Climate Change

0packages depend
5.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Detection and attribution of climate change using methods including optimal fingerprinting via generalized total least squares or an estimating equation approach (Li et al., 2025, doi:10.1175/JCLI-D-24-0193.1; Ma et al., 2023, doi:10.1175/JCLI-D-22-0681.1). Provides shrinkage estimators for the covariance matrix following Ledoit and Wolf (2004, doi:10.1016/S0047-259X(03)00096-4) and Ledoit and Wolf (2017, doi:10.2139/ssrn.2383361).

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-release-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.0-7
README· In the repository, left out of the releaseVignettesNoNEWS· In the repository, left out of the releaseCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
100%4 run in a plain check
Exported functions with examples
67%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
40%

Downloads

5.8K
CRAN downloads in the past year
Rank #8,585 · ~16/day · ~479/mo
Daily download trend is not available in this view yet.
43230 days
1.1K90 days
5.8K1 year
Compare downloads with other packages →
Also on96 r2u11 autocran

Repository

20Stars
4Forks
2Open issues
1Open PRs
0Releases
49Commits
2Commit identities
49 commits · Last activity 2026-03-13 · 0% stars, 30d · Default branch at 0.0-8, ahead of CRAN 0.0-7 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
465
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-09-15 · 172026-07-07 · 20
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/liyanstat/dacc on 2026-10-21.

Reproducibility and dev environment (1)
Makefile
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing dacc adds 30 packages (17 with compiled code, 24 MB of source tarballs). Heaviest: stringi 11 MB, sp 4.3 MB, vctrs 1.0 MB.

Depends (1)
R >= 3.5.0
Imports (10)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.0-1 (2023)
Author
Author
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-09-16
  • 0.0-7Latest
    record
    2025-09-16 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-09-08
    errors were not corrected in time
  • R
    R 4.5.0 released · 2025-04-11
  • 0.0-6
    record
    2025-01-24 · diff ↗
  • 0.0-5
    record
    2024-09-20 · diff ↗
  • 0.0-4
    record
    2024-06-27 · diff ↗ ·
    removed 1 export
    fingerprintCEE
    added 1 export
    fpPrep
  • R
    R 4.4.0 released · 2024-04-24
  • 0.0-3
    record
    2024-01-09 · diff ↗
  • 0.0-2
    record
    2023-09-26 · diff ↗
  • 0.0-1
    record
    2023-09-10
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-09-10
Total releases
7 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
1.8 MB / 3 files
Download size
1.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dacc")
Li, Y., Chen, K., & Yan, J. (2025). dacc: Detection and Attribution Analysis of Climate Change (Version 0.0-7) [Computer software]. https://doi.org/10.32614/CRAN.package.dacc

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 dacc version 0.0-7 [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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