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Provides functions to enhance the available statistical analysis procedures in R by providing simple functions to analysis and visualize the 16S rRNA data.Here we present a tutorial with minimum working examples to demonstrate usage and dependencies.
Version: | 0.0.21 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr, plyr, magrittr, broom, phyloseq, vegan, rlang, ggplot2, ggpubr, DESeq2, SummarizedExperiment, S4Vectors, rstatix, tidyr, phangorn, randomForest, edgeR |
Suggests: | markdown, dada2, rmarkdown, knitr, tools, Biostrings, DECIPHER, MASS, testthat |
Published: | 2024-05-15 |
DOI: | 10.32614/CRAN.package.microbial |
Author: | Kai Guo [aut, cre], Pan Gao [aut] |
Maintainer: | Kai Guo <guokai8 at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | microbial results |
Reference manual: | microbial.pdf |
Vignettes: |
microbial |
Package source: | microbial_0.0.21.tar.gz |
Windows binaries: | r-devel: microbial_0.0.21.zip, r-release: microbial_0.0.21.zip, r-oldrel: microbial_0.0.21.zip |
macOS binaries: | r-release (arm64): microbial_0.0.21.tgz, r-oldrel (arm64): microbial_0.0.21.tgz, r-release (x86_64): microbial_0.0.21.tgz, r-oldrel (x86_64): microbial_0.0.21.tgz |
Old sources: | microbial archive |
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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.