R Observatory: Metrics for onlineforecast version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

onlineforecast

1.0.2

Forecast Modelling for Online Applications

0packages depend

4.2Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Peder BacherFirst published 2020-09-155 releasesCRAN page ↗

A framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website https://onlineforecasting.org and the paper "onlineforecast: An R package for adaptive and recursive forecasting" https://journal.r-project.org/articles/RJ-2023-031/.

Install

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

install.packages("onlineforecast", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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-onlineforecast

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-onlineforecast

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-onlineforecast

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 8.4 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

98%

Documentation · exports

5

Dependencies · direct

Check history

NOTE2026-07-11
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
WARNING2026-06-07
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 77%
References docs: 0%

Downloads

4.2K

CRAN downloads in the past year

Rank #10,467 · ~11/day · ~346/mo

Releases R versions

Daily download trend is not available in this view yet.

27330 days

91790 days

4.2K1 year

Compare downloads with other packages →

Also on430 r2u29 autocran50 c2d4u

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0.0

Imports (5)

Rcpp R6splinespbs digest

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (6)

knitr rmarkdown R.rsp testthat data.table plotly

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Peder Bacher

Maintainer

Authors (1)

Hjorleifur G Bergsteinsson

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.2Latest
2023-10-12 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.1
2022-05-10 · diff ↗
unarchivedReturned to CRAN
2022-05-10
R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2022-04-04
'coercion to logical' errors were not corrected in time See https://www.stats.ox.ac.uk/pub/bdr/LENGTH1/
1.0.0
2021-09-30 · diff ↗
0.10.0
2021-08-21 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.9.3
2020-09-15
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-09-15
Total releases: 5 / 6 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.0.0
Bundled data: 200 KB / 1 file
Download size: 2.5 MB
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("onlineforecast")

Format

Bacher, P., & Bergsteinsson, H. G. (2023). onlineforecast: Forecast Modelling for Online Applications (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.onlineforecast

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 onlineforecast version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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