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LorMe

2.0.2Package record

Lightweight One-Line Resolving Microbial Ecology Program

0packages depend
5.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

Health

CRAN checks
13OK
Slowest check: 6.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 3 earlier changesHide 3 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
  • NOTE13 OK, 1 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.0.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
57includes a package overview page
Examples that run
64%28 run in a plain check (1 of them under a condition) · 14 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples
94%
Documented parameters
100%
Return-value docs
98%
Help pages citing references
0%

Downloads

5.8K
CRAN downloads in the past year
Rank #6,945 · ~16/day · ~486/mo
Daily download trend is not available in this view yet.
41330 days
1.2K90 days
5.8K1 year
Compare downloads with other packages →
Also on174 r2u5 autocran

Dependencies

Declared dependencies
30 external dependencies (excludes base and recommended)

Installing LorMe adds 161 packages (89 with compiled code, 138 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0 (2024), Copyright holder
Author · added in 1.1.0
Listed in earlier versions (1)
Geofei Jiang
no longer listed · 1.0.0
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.2Latest
    record
    2026-01-12 · current release · diff ↗
  • 2.0.1
    record
    2025-11-17 · diff ↗
  • 2.0.0
    record
    2025-11-17 · diff ↗ ·
    added 10 exports
    .LorMe_opts, LorMe_defaults, LorMe_options, LorMe_pipeline, Trans_from_microeco, Trans_from_phylo, Trans_to_microeco, Trans_to_phylo, add_tree, safe_run
  • R
    R 4.5.0 released · 2025-04-11
  • 1.2.1
    record
    2025-03-14 · diff ↗
  • 1.2.0
    record
    2025-03-12 · diff ↗
  • 1.1.0
    record
    2024-09-13 · diff ↗
  • 1.0.0
    record
    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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LorMe")
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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LorMe version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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