Temporal Hierarchical Forecasting
Overview
Methods and tools for generating forecasts at different temporal frequencies using a hierarchical time series approach.
- Improved handling of forecastfunction argument in thief()
- Bug fixes
- pkgdown documentation
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 80%4 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 90%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 3
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
8 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/robjhyndman/thief on 2026-10-18.
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Dependencies
Installing thief adds 31 packages (19 with compiled code, 24 MB of source tarballs). Heaviest: ggplot2 6.0 MB, colorspace 2.0 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.3Latest
- RR 3.4.0 released · 2017-04-21
- 0.22016-09-07
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-09-07
- Total releases
- 2 / 10 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0.2
- Bundled data
- 11 KB / 1 file
- Download size
- 30 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("thief")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.