R Observatory: Metrics for mrf version 0.1.9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mrf

0.1.9

Multiresolution Forecasting

0packages depend

1.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Quirin StierFirst published 2026-04-173 releasesCRAN page ↗GitHub ↗

Forecasting of univariate time series using feature extraction with variable prediction methods is provided. Feature extraction is done with a redundant Haar wavelet transform with filter h = (0.5, 0.5). The advantage of the approach compared to typical Fourier based methods is an dynamic adaptation to varying seasonalities. Currently implemented prediction methods based on the selected wavelets levels and scales are a regression and a multi-layer perceptron. Forecasts can be computed for horizon 1 or higher. Model selection is performed with an evolutionary optimization. Selection criteria are currently the AIC criterion, the Mean Absolute Error or the Mean Root Error. The data is split into three parts for model selection: Training, test, and evaluation dataset. The training data is for computing the weights of a parameter set. The test data is for choosing the best parameter set. The evaluation data is for assessing the forecast performance of the best parameter set on new data unknown to the model. This work is published in Stier, Q.; Gehlert, T.; Thrun, M.C. Multiresolution Forecasting for Industrial Applications. Processes 2021, 9, 1697. doi:10.3390/pr9101697.

Install

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

install.packages("mrf", 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("Quirinms/MRFR")

Development version from Quirinms/MRFR. 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-mrf

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-mrf

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-mrf

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

Health

CRAN checks

13OK

Slowest check: 2.5 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
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
OK2026-04-17
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 88%
Documented parameters: 100%
Return-value docs: 100%
References docs: 94%

Downloads

1.8K

CRAN downloads in the past year

Rank #8,451 · ~5/day · ~149/mo

Releases R versions

Daily download trend is not available in this view yet.

17030 days

1.1K90 days

1.8K1 year

Compare downloads with other packages →

Also on93 r2u21 autocran39 c2d4u

Repository

GitHub ↗ quirinms/mrfr

2Stars

0Forks

0Open issues

0Open PRs

0Releases

24Commits

1Contributors

24 commits · Last activity 2021-09-23

Stars over time

2021-10-28 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/quirinms/mrfr on 2026-08-16.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (7)

DEoptimstatsforecast monmlp nnfor waveletsmethods

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Quirin Stier

Author, Maintainer, Contributor

Authors (1)

Quirin Stier

Author, Maintainer, Contributor

Contributors (2)

Quirin Stier

Author, Maintainer, Contributor

Michael Thrun

Thesis advisor, Copyright holder, Reviewer, Funder, Contributor

Copyright holders (1)

Michael Thrun

Thesis advisor, Copyright holder, Reviewer, Funder, Contributor

Funders (1)

Michael Thrun

Thesis advisor, Copyright holder, Reviewer, Funder, Contributor

Reviewers (1)

Michael Thrun

Thesis advisor, Copyright holder, Reviewer, Funder, Contributor

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.1.9Latest
2026-04-17 · current release · diff ↗
unarchivedReturned to CRAN
2026-04-16
archivedRemoved from CRAN
2025-06-02
requires archived package 'limSolve'
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.1.6
2022-02-23 · diff ↗
0.1.5
2021-09-22
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2026-04-17
Total releases: 3 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 32 KB / 1 file
Download size: 83 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mrf")

Format

Stier, Q., & Thrun, M. (2026). mrf: Multiresolution Forecasting (Version 0.1.9) [Computer software]. https://doi.org/10.32614/CRAN.package.mrf

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 mrf version 0.1.9 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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