R Observatory: Metrics for HDclust version 1.0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

HDclust

1.0.4

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

1packages depend

2.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jia LiFirst published 2018-07-303 releasesCRAN page ↗

Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) https://jmlr.org/papers/v18/16-342.html.

Install

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

install.packages("HDclust", 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-hdclust

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-HDclust

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-HDclust

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

Health

CRAN checks

13OK

Slowest check: 8.2 min · r-oldrel-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
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-09
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 93%
Documented parameters: 100%
Return-value docs: 36%
References docs: 9%

Downloads

2.4K

CRAN downloads in the past year

Rank #16,293 · ~7/day · ~200/mo

Releases R versions

Daily download trend is not available in this view yet.

16030 days

64990 days

2.4K1 year

Compare downloads with other packages →

Also on393 r2u20 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

methods

Imports (3)

Rcpp RcppProgress Rtsne

LinkingTo (2)

Rcpp RcppProgress

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

OTclust

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Jia Li

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author · added in 1.0.3

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
R
R 4.5.0 released · 2025-04-11
1.0.4Latest
2024-09-20 · current release · diff ↗
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
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
1.0.3
2019-04-11 · diff ↗
1.0
2018-07-30
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-07-30
Total releases: 3 / 8 yrs
License: GPL (>= 2) OSI
Bundled data: 490 KB / 3 files
Download size: 905 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HDclust")

Format

Li, J., Lin, L., Tupikov, Y., & Zhang, L. (2024). HDclust: Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.HDclust

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 HDclust version 1.0.4 [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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