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334−13.3% down on the 30 days before, the worse direction

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).

Full description

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>.

Maintainer
Quirin Stier
Licence
GPL-3
Latest release
16 Apr 2026
First release
22 Sep 2021

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More details
Releases
3
Needs compilation
No
Needs R
>= 3.5.0
Date
2026-04-11
LazyData
true
Task views (0)

Earlier: Time Series Analysis (until 21 Aug 2025).

Subjects (1) Method, Subjects
Cite

Package

Run in R for the authors' preferred citation:

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

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA
Balamuta, J. J. (2026). R Observatory: Metrics for mrf version 0.1.9 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040
About

From data release v2026-10-28, which the citation names so these numbers can be found later.

All 13 check platforms pass.

  • r-devel-linux-x86_64-debian-clang

    The unreleased R on Linux, x86_64, debian-clang

    OK

    Version checked
    0.1.9
    Time taken
    97 s
  • r-devel-linux-x86_64-debian-gcc

    The unreleased R on Linux, x86_64, debian-gcc

    OK

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    0.1.9
    Time taken
    73 s
  • r-devel-linux-x86_64-fedora-clang

    The unreleased R on Linux, x86_64, fedora-clang

    OK

    Version checked
    0.1.9
    Time taken
    93 s
  • r-devel-linux-x86_64-fedora-gcc

    The unreleased R on Linux, x86_64, fedora-gcc

    OK

    Version checked
    0.1.9
    Time taken
    71 s
  • r-devel-windows-x86_64

    The unreleased R on Windows, x86_64

    OK

    Version checked
    0.1.9
    Time taken
    115 s
  • r-oldrel-macos-arm64

    The previous release of R on macOS, arm64

    OK

    Version checked
    0.1.9
    Time taken
    28 s
  • r-oldrel-macos-x86_64

    The previous release of R on macOS, x86_64

    OK

    Version checked
    0.1.9
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    148 s
  • r-oldrel-windows-x86_64

    The previous release of R on Windows, x86_64

    OK

    Version checked
    0.1.9
    Time taken
    135 s
  • r-patched-linux-x86_64

    The patched release of R on Linux, x86_64

    OK

    Version checked
    0.1.9
    Time taken
    91 s
  • r-release-linux-x86_64

    The current release of R on Linux, x86_64

    OK

    Version checked
    0.1.9
    Time taken
    90 s
  • r-release-macos-arm64

    The current release of R on macOS, arm64

    OK

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    0.1.9
    Time taken
    29 s
  • r-release-macos-x86_64

    The current release of R on macOS, x86_64

    OK

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    0.1.9
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    132 s
  • r-release-windows-x86_64

    The current release of R on Windows, x86_64

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    0.1.9
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  • 13 OK

Over time

No change since 5 Aug 2026

As a list (5)
ChangedWorst statusOKNotesWarningsErrors
5 Aug 2026OK13000
1 Aug 2026Note12100
9 Jun 2026OK13000
8 Jun 2026Error12001
17 Apr 2026OK7000

Since March 2026

Check results on CRAN

Total downloads in the last 30 days
349−14.7% down on the 30 days before, the worse directionIt is the sum of 4 channels: CRAN, r2u, autoCRAN and c2d4u.

CRAN rank

11,436 of 26,530

CRAN

334 downloads in the last 30 days

Rank
11,436 of 26,530
Change
−13.3% down on the 30 days before, the worse direction

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r2u

2 downloads in the last 30 days

Rank
14,902 of 30,526
Change
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autoCRAN

6 downloads in the last 30 days

Rank
8,234 of 29,212
Change
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c2d4u, no longer updated

7 downloads in the last 30 days

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Over time

Compare downloads

Needs
7
Dependent packages
0
Suggested by
0
Needs (7)
Installing it adds
59 packages, 43.6 MB of source
Of those, need compilation
31
Optional extras (2)
Functions
27
Public exports
15
Lines of R code
1,963
Median complexity
6
Functions (27)
Size and composition

Lines by kind (3,207)

KindLinesShare
R code1,96361%
Documentation1,13535%
Guides1093%

Lines by language

LanguageLinesShare
R1,96361%
Rd1,13535%
Vignettes1093%

Languages are counted from file extensions.

Files
44
R functions
27
Complexity
Median
6
Mean
7.3
Highest
17
Median lines per function
63
About complexity

Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.

Call graph figures
R functions
27
Calls
34
Unconnected
1
Groups
1
Growth (3 releases)
Total lines by release
3,122 on 22 Sep 20213,207 on 16 Apr 2026
Release changes

The package was built and has no tests to run.

Lines of tests
0
Exports named in tests
0%
Test suite
Has tests
No
Test frameworks
No tests in this release
Test lines per line of code
0
Exports documented
100%
Arguments documented
100%
Return value documented
100%
Help pages with examples
94.1%
Examples run in checks
87.5%
Guides (1)
Other documentation
README
No
Release notes file
No
Help pages
17
Lines of documentation
1,135
DatasetSizeColumns
entsoeEntsoe DataFrame containing Time Series3,652 × 2time, value
  • Quirin Stier

    Maintainer since 0.1.5 (2021), author, contributor

  • Michael Thrun, an organisation

    Thesis advisor, copyright holder, reviewer, contributor

Funded by Michael Thrun

Quirinms / mrfr on github.com

Stars
2
Forks
0
Open issues
0
Last commit
23 Sep 2021
Activity
Commits
24
Open pull requests
0
Tagged releases
0
Latest tagged release
–
In development
The default branch showed an older version (0.1.6) than CRAN on 2026-10-25
Issues closed in
–
Pull requests closed in
–
Pull requests merged
–
Created
24 Jun 2020
Licence file reads as
–
Development practices (1)
KindFound
Lint, format, editorRStudio project

Method, repository practices

Across Quirinms

R releases
  • On CRAN
  • Archived
  • Release
0.1.50.1.60.1.9BackArchivedArchivedBackArchived

Archived and back

ArchivedBackCRAN's reasonKind
2 Jun 202516 Apr 2026requires archived package 'limSolve'Needs an archived package
VersionReleasedREvents
0.1.9 current16 Apr 20264.5.3Back on CRAN 16 Apr 2026
0.1.623 Feb 20224.1.2Archived 2 Jun 2025
“requires archived package 'limSolve'”
0.1.522 Sep 20214.1.1