R Observatory: Metrics for LorMe version 2.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LorMe

2.0.2

Lightweight One-Line Resolving Microbial Ecology Program

0packages depend

5.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Ningqi WangFirst published 2024-08-297 releasesCRAN page ↗

Provides a robust collection of functions tailored for microbial ecology analysis, encompassing both data analysis and visualization. It introduces an encapsulation feature that streamlines the process into a summary object. With the initial configuration of this summary object, users can execute a wide range of analyses with a single line of code, requiring only two essential parameters for setup. The package delivers comprehensive outputs including analysis objects, statistical outcomes, and visualization-ready data, enhancing the efficiency of research workflows. Designed with user-friendliness in mind, it caters to both novices and seasoned researchers, offering an intuitive interface coupled with adaptable customization options to meet diverse analytical needs.

Install

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

install.packages("LorMe", 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-lorme

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-LorMe

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-LorMe

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

Health

CRAN checks

13OK

Slowest check: 6.5 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

21

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
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 68%
Documented parameters: 100%
Return-value docs: 98%
References docs: 0%

Downloads

5.4K

CRAN downloads in the past year

Rank #6,035 · ~15/day · ~451/mo

Releases R versions

Daily download trend is not available in this view yet.

30130 days

1.3K90 days

5.4K1 year

Compare downloads with other packages →

Also on243 r2u

Dependencies

Declared dependencies

30 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (21)

methodsape ggalluvial ggplot2 ggpubrgrDevicesmagrittr RColorBrewer scales stringr tidyr vegan dplyr igraph Hmisc fdrtool agricolae multcompView DescTools HH coin

LinkingTo (0)

none

Suggests (12)

testthat ggrepel readr patchworkgridpermute indicspecies S4Vectors tibble DESeq2 phyloseq microeco

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Ningqi Wang

Author, Maintainer, Copyright holder

Authors (3)

Ningqi Wang

Author, Maintainer, Copyright holder

Gaofei Jiang

Author · added in 1.1.0

Yaozhong Zhang

Author

Copyright holders (1)

Ningqi Wang

Author, Maintainer, Copyright holder

Listed in earlier versions (1)

Geofei Jiang

no longer listed · 1.0.0

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
2.0.2Latest
2026-01-12 · current release · diff ↗
2.0.1
2025-11-17 · diff ↗
2.0.0
2025-11-17 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.2.1
2025-03-14 · diff ↗
1.2.0
2025-03-12 · diff ↗
1.1.0
2024-09-13 · diff ↗
1.0.0
2024-08-29
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-08-29
Total releases: 7 / 2 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 2.0 MB / 4 files
Download size: 2.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LorMe")

Format

Wang, N., Jiang, G., & Zhang, Y. (2026). LorMe: Lightweight One-Line Resolving Microbial Ecology Program (Version 2.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.LorMe

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 LorMe version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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