Package: MicrobiomeStat 1.2

Jun Chen

MicrobiomeStat: Statistical Methods for Microbiome Compositional Data

A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>). The methods can be applied to the analysis of other (high-dimensional) compositional data arising from sequencing experiments.

Authors:Xianyang Zhang [aut], Jun Chen [aut, cre], Huijuan Zhou [ctb]

MicrobiomeStat_1.2.tar.gz
MicrobiomeStat_1.2.tar.gz(r-4.5-noble)MicrobiomeStat_1.2.tar.gz(r-4.4-noble)
MicrobiomeStat_1.2.tgz(r-4.4-emscripten)MicrobiomeStat_1.2.tgz(r-4.3-emscripten)
MicrobiomeStat.pdf |MicrobiomeStat.html✨
MicrobiomeStat/json (API)

# Install 'MicrobiomeStat' in R:
install.packages('MicrobiomeStat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • smokers - Microbiome data from the human upper respiratory tract

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.75 score 2 packages 88 scripts 1.1k downloads 3 exports 55 dependencies

Last updated 9 months agofrom:df13760feb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linuxOKNov 28 2024

Exports:lindalinda.plotlinda.wald.test

Dependencies:bootcliclueclustercodetoolscolorspacefansifarverfBasicsforeachggplot2ggrepelgluegssgtableisobanditeratorslabelinglatticelifecyclelme4lmerTestmagrittrMASSMatrixmatrixStatsmgcvminqamodeestmunsellnlmenloptrnumDerivpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangrmutilrpartscalesspatialstablestablediststatipstatmodtibbletimeDatetimeSeriesutf8vctrsviridisLitewithr