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: |
1.2.1 |
| 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: |
2025-03-14 |
| 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 |
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