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LorMe: Lightening One-Code Resolving Microbial Ecology Solution

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.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: ape, ggalluvial, ggplot2, ggpubr, grDevices, magrittr, RColorBrewer, scales, stringr, tidyr, vegan, dplyr, igraph, Hmisc, fdrtool, agricolae, multcompView, DescTools, HH, coin
Suggests: testthat (≥ 3.0.0), ggrepel, readr, patchwork, grid, permute, indicspecies, S4Vectors, tibble, DESeq2
Published: 2024-08-29
DOI: 10.32614/CRAN.package.LorMe
Author: Ningqi Wang [aut, cre, cph], Yaozhong Zhang [aut], Geofei Jiang [aut]
Maintainer: Ningqi Wang <2434066068 at qq.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: LorMe results

Documentation:

Reference manual: LorMe.pdf

Downloads:

Package source: LorMe_1.0.0.tar.gz
Windows binaries: r-devel: LorMe_1.0.0.zip, r-release: LorMe_1.0.0.zip, r-oldrel: LorMe_1.0.0.zip
macOS binaries: r-release (arm64): LorMe_1.0.0.tgz, r-oldrel (arm64): LorMe_1.0.0.tgz, r-release (x86_64): LorMe_1.0.0.tgz, r-oldrel (x86_64): LorMe_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.