R Observatory: Metrics for onlineforecast version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

onlineforecast

1.0.2Package record

Forecast Modelling for Online Applications

0packages depend

4.1Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Peder BacherCRAN page ↗Website ↗Issues ↗

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Rd files without \usage:
  ‘lp_vector_cpp.Rd’ ‘rls_update_cpp.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 8.5 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 1 NOTE2026-07-11
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
WARNING12 OK, 1 WARNING2026-06-07
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.2

READMENoVignettesYes · 4 · dynamicNEWSNoCitation fileYes · cites a publicationWebsiteYes

Help pages: 76 (1 internal)includes a package overview page
Examples that run: 97%57 run in a plain check · 2 hold no code
Exported functions with examples: 84%
Documented parameters: 100%
Return-value docs: 77%
Help pages citing references: 0%

Vignettes (4)

How these are measured

Downloads

4.1K

CRAN downloads in the past year

Rank #9,134 · ~11/day · ~339/mo

Releases R versions

Daily download trend is not available in this view yet.

33630 days

1.1K90 days

4.1K1 year

Compare downloads with other packages →

Also on395 r2u3 autocran107 c2d4u

How downloads are counted

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing onlineforecast adds 5 packages (3 with compiled code, 3.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, digest 231 KB.

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.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Peder Bacher

Maintainer since 0.9.3 (2020)

Hjorleifur G Bergsteinsson

Author

Releases (5)

Pick two releases to compare their code metrics.

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
record
2023-10-12 · current release · diff ↗ ·
added 1 export
pattern:^[[:alpha:]]+
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-05-10
1.0.1
record
2022-05-10 · diff ↗ ·
removed 1 export
check
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
record
2021-09-30 · diff ↗
0.10.0
record
2021-08-21 · diff ↗ ·
removed 1 export
score_fit

added 4 exports
complete_cases, lagdl, make_periodic, step_optim
R
R 4.1.0 released · 2021-05-18
0.9.3
record
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

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("onlineforecast")

The package provides a citation file, so citation() returns the authors' own entry.

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 v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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