The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 1.1.0
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: 2024-09-13
DOI: 10.32614/CRAN.package.LorMe
Author: Ningqi Wang [aut, cre, cph], Yaozhong Zhang [aut], Gaofei Jiang [aut]
Maintainer: Ningqi Wang <2434066068 at qq.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: LorMe results

Documentation:

Reference manual: LorMe.pdf

Downloads:

Package source: LorMe_1.1.0.tar.gz
Windows binaries: r-devel: LorMe_1.1.0.zip, r-release: LorMe_1.1.0.zip, r-oldrel: LorMe_1.1.0.zip
macOS binaries: r-release (arm64): LorMe_1.1.0.tgz, r-oldrel (arm64): LorMe_1.1.0.tgz, r-release (x86_64): LorMe_1.1.0.tgz, r-oldrel (x86_64): LorMe_1.1.0.tgz
Old sources: LorMe archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LorMe to link to this page.

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.
Health stats visible at Monitor.