Microbiome differential abudance and correlation analyses with
bias correction
ANCOMBC is a package containing differential abundance (DA) and 
    correlation analyses for microbiome data. Specifically, the package includes 
    Analysis of Compositions of Microbiomes with Bias Correction 2 (ANCOM-BC2),
    Analysis of Compositions of Microbiomes with Bias Correction (ANCOM-BC), and 
    Analysis of Composition of Microbiomes (ANCOM) for DA analysis, and Sparse 
    Estimation of Correlations among Microbiomes (SECOM) for correlation 
    analysis. Microbiome data are typically subject to two sources of biases: 
    unequal sampling fractions (sample-specific biases) and differential 
    sequencing efficiencies (taxon-specific biases). Methodologies included in 
    the ANCOMBC package are designed to correct these biases and construct 
    statistically consistent estimators.
c(
    person(given = "Huang", 
           family = "Lin", 
           email = "huanglinfrederick@gmail.com", 
           role = c("cre", "aut"),
           comment = c(ORCID = "0000-0002-4892-7871")))
stats, CVXR, DescTools, Hmisc, MASS, Matrix, Rdpack,
doParallel, doRNG, energy, foreach, gtools, lme4, lmerTest,
multcomp, nloptr, parallel, utils
mia (>= 1.6.0), DT, S4Vectors, SingleCellExperiment,
SummarizedExperiment, TreeSummarizedExperiment, dplyr, knitr,
magrittr, microbiome, phyloseq, rmarkdown, testthat, tidyr,
tidyverse
DifferentialExpression, Microbiome, Normalization,
Sequencing, Software