Forecasting Time Series by Theta Models
Overview
Routines for forecasting univariate time series using Theta Models.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 440
- Median days to close, 50 most recently updated closed PRs
- 2
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/jafiorucci/forectheta on 2026-10-11.
Dependencies
Installing forecTheta adds 37 packages (22 with compiled code, 24 MB of source tarballs). Heaviest: ggplot2 6.0 MB, colorspace 2.0 MB, Rcpp 1.8 MB.
Code & Tests
People & History
Maintainer since 1.0 (2015)
- 3.0.3Latest
- RR 4.6.0 released · 2026-04-24
- 3.02025-05-21 · diff ↗ ·
added 6 exports
bagged_dotm, bagged_dstm, bagged_otm, bagged_stm, seasonal_test, PI_eval - RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 2.6.22022-11-11 · diff ↗
- 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
- RR 3.4.0 released · 2017-04-21
- 2.22016-05-26 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 2.12016-03-07 · diff ↗
Package metadata
- First published
- 2015-04-15
- Total releases
- 8 / 11 yrs
- License
- GPL (>= 2) OSI
- Download size
- 21 KB
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