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DESCRIPTION
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DESCRIPTION
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Package: MicrobiomeStat
Type: Package
Title: Comprehensive Statistical and Visualization Methods for Microbiome and Multi-Omics Data
Version: 1.2.1
Authors@R: c(
person("Xianyang", "Zhang", role = "aut", email = "zhangxiany@stat.tamu.edu"),
person("Jun", "Chen", role = c("aut", "cre"),
email = "chen.jun2@mayo.edu"),
person("Huijuan", "Zhou", role = "ctb"),
person("Caffery(Chen)", "Yang", role = "aut", email = "cafferychen777@tamu.edu"))
Author: Xianyang Zhang [aut],
Jun Chen [aut, cre],
Huijuan Zhou [ctb],
Caffery(Chen) Yang [aut]
Maintainer: Jun Chen <chen.jun2@mayo.edu>
Description: MicrobiomeStat is a dedicated R package designed for advanced, longitudinal microbiome and multi-omics data analysis. It stands out with a special focus on in-depth longitudinal microbiome analysis, ensuring precise and detailed data interpretation across time. Generate professional microbiome analysis reports with just a click through the MicrobiomeStat One Click feature. This package guarantees robust solutions for diverse analytic scenarios and effortless handling of multi-omics data, amplifying the efficiency and scope of research. The user-friendly design, diverse features, and practical use cases of MicrobiomeStat assist researchers in navigating the complexities of microbiome data, delivering meaningful insights for longitudinal studies.
BugReports: https://github.com/cafferychen777/MicrobiomeStat/issues
URL: https://cafferychen777.github.io/MicrobiomeStat
Depends:
R (>= 3.5.0),
rlang,
tibble
Imports:
ggplot2,
matrixStats,
lmerTest,
foreach,
modeest,
vegan,
dplyr,
pheatmap,
tidyr,
ggh4x,
ape,
GUniFrac,
scales,
stringr,
rmarkdown,
knitr,
pander,
tinytex
Suggests:
ggrepel,
parallel,
ggprism,
aplot,
yaml,
biomformat,
Biostrings,
ggtree,
ggtreeExtra,
testthat (>= 3.0.0)
Config/testthat/edition: 3
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2