R Observatory: Metrics for aclhs version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

aclhs

1.0.1Package record

Autocorrelated Conditioned Latin Hypercube Sampling

0packages depend

2.3Kdownloads / year

44.9%test coverage

12/13flavors OK

Overview

About

Maintained by Gabriel LaboyCRAN page ↗GitHub ↗Issues ↗

Implementation of the autocorrelated conditioned Latin Hypercube Sampling (acLHS) algorithm for 1D (time-series) and 2D (spatial) data. The acLHS algorithm is an extension of the conditioned Latin Hypercube Sampling (cLHS) algorithm that allows sampled data to have similar correlative and statistical features of the original data. Only a properly formatted dataframe needs to be provided to yield subsample indices from the primary function. For more details about the cLHS algorithm, see Minasny and McBratney (2006), doi:10.1016/j.cageo.2005.12.009. For acLHS, see Le and Vargas (2024) doi:10.1016/j.cageo.2024.105539.

Install

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

install.packages("aclhs", 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("vargaslab/acLHS")

Development version from vargaslab/acLHS. 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-aclhs

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-aclhs

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-aclhs

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

1ERROR12OK

Check messages

ERRORpackage dependenciesr-oldrel-macos-arm64

Packages required and available but unsuitable versions:
  'graphics', 'stats', 'utils'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 2.2 min · r-release-macos-x86_64

Status changes

ERROR12 OK, 1 ERRORNow
ERROR10 OK, 4 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 100%10 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #18,918 · ~6/day · ~190/mo

Releases R versions

Daily download trend is not available in this view yet.

22230 days

69790 days

2.3K1 year

Compare downloads with other packages →

Also on83 r2u13 autocran

How downloads are counted

Repository

vargaslab/aclhs ↗Account: vargaslab

3Stars

3Forks

0Open issues

0Open PRs

0Releases

13Commits

3Commit identities

13 commits · Last activity 2025-11-01 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-01-27 · 12026-07-07 · 3

How these are measured

PracticesBeta

Checks run against github.com/vargaslab/aclhs on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing aclhs adds 4 packages (4 with compiled code, 4.9 MB of source tarballs). Heaviest: sp 4.3 MB, geoR 408 KB, splancs 99 KB.

Depends (1)

R >= 3.5

Imports (5)

DEoptim geoRgraphicsstatsutils

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Gabriel Laboy

Contributor, Maintainer since 1.0.1 (2025)

Van Huong Le

Author, Contributor

Rodrigo Vargas

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
record
2025-11-05 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-11-05
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 14 KB / 2 files
Download size: 47 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("aclhs")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.cageo.2024.105539.

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 aclhs version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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