R Observatory: Metrics for funMoDisco version 1.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

funMoDisco

1.1.5

Motif Discovery in Functional Data

0packages depend

5.6Kdownloads / year

0.3%test coverage

13/13checks pass

Overview

About

Maintained by Jacopo Di IorioFirst published 2025-04-153 releasesCRAN page ↗

Efficiently implementing two complementary methodologies for discovering motifs in functional data: ProbKMA and FunBIalign. Cremona and Chiaromonte (2023) "Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data" doi:10.1080/10618600.2022.2156522 is a probabilistic K-means algorithm that leverages local alignment and fuzzy clustering to identify recurring patterns (candidate functional motifs) across and within curves, allowing different portions of the same curve to belong to different clusters. It includes a family of distances and a normalization to discover various motif types and learns motif lengths in a data-driven manner. It can also be used for local clustering of misaligned data. Di Iorio, Cremona, and Chiaromonte (2023) "funBIalign: A Hierarchical Algorithm for Functional Motif Discovery Based on Mean Squared Residue Scores" doi:10.48550/arXiv.2306.04254 applies hierarchical agglomerative clustering with a functional generalization of the Mean Squared Residue Score to identify motifs of a specified length in curves. This deterministic method includes a small set of user-tunable parameters. Both algorithms are suitable for single curves or sets of curves. The package also includes a flexible function to simulate functional data with embedded motifs, allowing users to generate benchmark datasets for validating and comparing motif discovery methods.

Install

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

install.packages("funMoDisco", 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-funmodisco

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-funMoDisco

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-funMoDisco

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

Health

CRAN checks

13OK

Slowest check: 7.7 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.00

0.3%

Coverage · measured lines

100%

Documentation · exports

17

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
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

NOTE2026-04-25
11 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 3 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 99%
Return-value docs: 97%
References docs: 0%

Downloads

5.6K

CRAN downloads in the past year

Rank #7,694 · ~15/day · ~468/mo

Releases R versions

Daily download trend is not available in this view yet.

25530 days

1.1K90 days

5.6K1 year

Compare downloads with other packages →

Also on491 r2u8 autocran

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Depends (5)

R >= 3.5.0dplyrparallelggplot2 progress

Imports (13)

Rcpp dendextend fastcluster fda ggtextmethodspurrr scalesutilsclasscombinat data.table stringr

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (5)

knitr rmarkdown tinytest kableExtra R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Jacopo Di Iorio

Author, Maintainer

Authors (5)

Jacopo Di Iorio

Author, Maintainer

Francesca Chiaromonte

Author

Marzia Angela Cremona

Author

Niccolò Feresini

Author

Riccardo Lazzarini

Author

Listed in earlier versions (1)

Cremona

no longer listed · 1.0.0 to 1.1.5

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
1.1.5Latest
2026-04-22 · current release · diff ↗
1.1.0
2025-11-07 · diff ↗
1.0.0
2025-04-15
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-04-15
Total releases: 3 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 4.4 MB / 2 files
Download size: 4.8 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("funMoDisco")

Format

Di Iorio, J., Chiaromonte, F., Cremona, M. A., Feresini, N., & Lazzarini, R. (2026). funMoDisco: Motif Discovery in Functional Data (Version 1.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.funMoDisco

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 funMoDisco version 1.1.5 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →