R Observatory: Metrics for LPStimeSeries version 1.1-0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LPStimeSeries

1.1-0

Learned Pattern Similarity and Representation for Time Series

0packages depend

1.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Mustafa Gokce BaydoganFirst published 2026-04-227 releasesCRAN page ↗

Learned Pattern Similarity (LPS) for time series, as described in Baydogan and Runger (2016) doi:10.1007/s10618-015-0425-y. Implements an approach to model the dependency structure in time series that generalizes the concept of autoregression to local auto-patterns. Generates a pattern-based representation of time series along with a similarity measure called Learned Pattern Similarity (LPS). Introduces a generalized autoregressive kernel. This package adapts C code from the 'randomForest' package by Andy Liaw and Matthew Wiener, itself based on original Fortran code by Leo Breiman and Adele Cutler.

Install

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

install.packages("LPStimeSeries", 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-lpstimeseries

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-LPStimeSeries

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-LPStimeSeries

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

Health

CRAN checks

13OK

Slowest check: 2.4 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

4

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
OK2026-04-22
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 64%

Downloads

1.5K

CRAN downloads in the past year

Rank #10,479 · ~4/day · ~121/mo

Releases R versions

Daily download trend is not available in this view yet.

17230 days

91490 days

1.5K1 year

Compare downloads with other packages →

Also on356 r2u21 autocran80 c2d4u

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (4)

statsgraphicsgrDevicesRColorBrewer

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)

Maintainer (1)

Mustafa Gokce Baydogan

Author, Maintainer

Authors (1)

Mustafa Gokce Baydogan

Author, Maintainer

Contributors (4)

Leo Breiman

Contributor · added in 1.1-0

Adele Cutler

Contributor · added in 1.1-0

Andy Liaw

Contributor · added in 1.1-0

Matthew Wiener

Contributor

Copyright holders (1)

Merck & Co., Inc.

Copyright holder · added in 1.1-0

Listed in earlier versions (4)

Learned Pattern Similarity (LPS) for time series by Mustafa Gokce Baydogan

no longer listed · 1.0 to 1.0-5

Ensemble of regression trees by Andy Liaw

no longer listed · 1.0 to 1.0-4

Matthew Wiener.

no longer listed · 1.0-1 to 1.0-4

Baydogan

no longer listed · 1.1-0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.1-0Latest
2026-04-22 · current release · diff ↗
unarchivedReturned to CRAN
2026-04-21
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
archivedRemoved from CRAN
2022-06-14
check problems were not corrected despite reminders
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.0-5
2015-03-27 · diff ↗

Show 7 earlier events

1.0-4
2015-01-09 · diff ↗
1.0-3
2014-08-01 · diff ↗
R
R 3.1.0 released · 2014-04-10
1.0-2
2014-03-23 · diff ↗
1.0-1
2014-03-10 · diff ↗
1.0
2014-03-06
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2026-04-22
Total releases: 7 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 221 KB / 1 file
Download size: 257 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LPStimeSeries")

Format

Baydogan, M. G., Merck & Co., Inc., Breiman, L., Cutler, A., Liaw, A., & Wiener, M. (2026). LPStimeSeries: Learned Pattern Similarity and Representation for Time Series (Version 1.1-0) [Computer software]. https://doi.org/10.32614/CRAN.package.LPStimeSeries

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 LPStimeSeries version 1.1-0 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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