R Observatory: Metrics for tempdisagg version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tempdisagg

1.2.0

Methods for Temporal Disaggregation and Interpolation of Time Series

3packages depend

28.9Kdownloads / year

86.9%test coverage

13/13checks pass

Overview

About

Maintained by Christoph SaxFirst published 2012-04-0211 releasesCRAN page ↗GitHub ↗

Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a higher frequency series, where either the sum, the mean, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. Contains the methods of Chow-Lin, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and Denton-Cholette, summarized in Sax and Steiner (2013) doi:10.32614/RJ-2013-028. Supports most R time series classes.

Install

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

install.packages("tempdisagg", 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("cynkra/tempdisagg")

Development version from cynkra/tempdisagg. 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-tempdisagg

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-tempdisagg

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-tempdisagg

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

Health

CRAN checks

13OK

Slowest check: 3.0 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 1.12

86.9%

Coverage · measured lines

100%

Documentation · exports

0

Dependencies · direct

Check history

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

Documentation

READMEYes · 141 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 71%
Documented parameters: 100%
Return-value docs: 100%
References docs: 11%

Downloads

28.9K

CRAN downloads in the past year

Rank #2,763 · ~79/day · ~2.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.8K30 days

6K90 days

28.9K1 year

Compare downloads with other packages →

Also on419 r2u10 autocran66 c2d4u

Repository

GitHub ↗ cynkra/tempdisagg

42Stars

8Forks

1Open issues

0Open PRs

0Releases

265Commits

8Contributors

rtime-series

265 commits · Last activity 2025-11-05 · 0% stars, 30d

Stars over time

2025-04-09 · 402026-07-07 · 42

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/cynkra/tempdisagg on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

CRAN-SUBMISSION

Coverage (1)

Codecov

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (6)

tsbox testthat knitr rmarkdown covr xts

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

0indirect

koma sectorgap disbayes

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Christoph Sax

Author, Maintainer

Authors (2)

Christoph Sax

Author, Maintainer

Peter Steiner

Author

Contributors (3)

Tommaso Di Fonzo

Contributor · added in 0.25.0

Tobias Schieferdecker

Contributor · added in 1.2.0

Nelson Stevens

Contributor · added in 1.2.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.2.0Latest
2025-11-05 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.1.1
2023-08-08 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1
2023-03-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
1.0
2020-02-07 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
0.25.0
2016-07-10 · diff ↗
R
R 3.3.0 released · 2016-05-03

Show 10 earlier events

R
R 3.2.0 released · 2015-04-16
0.24.0
2014-12-07 · diff ↗
R
R 3.1.0 released · 2014-04-10
0.23
2014-01-11 · diff ↗
0.22
2013-08-04 · diff ↗
R
R 3.0.0 released · 2013-04-03
0.21
2013-02-12 · diff ↗
0.13
2012-04-16 · diff ↗
0.12
2012-04-02
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2012-04-02
Total releases: 11 / 14 yrs
License: GPL-3 OSI
Bundled data: 55 KB / 2 files
Download size: 346 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tempdisagg")

Format

Sax, C., Di Fonzo, T., Schieferdecker, T., Steiner, P., & Stevens, N. (2025). tempdisagg: Methods for Temporal Disaggregation and Interpolation of Time Series (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tempdisagg

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 tempdisagg version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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