Package: MetaDICT
Title: Microbiome data integration method via shared dictionary
        learning
Version: 1.3.0
Authors@R: c(person("Bo", "Yuan", email = "boyuan5@illinois.edu", role = c("aut", "cre"), comment = c(ORCID = "0009-0008-5428-4447")),person("Shulei", "Wang", email = "shuleiw@illinois.edu", role = "aut"))
Description: MetaDICT is a method for the integration of microbiome
        data. This method is designed to remove batch effects and
        preserve biological variation while integrating heterogeneous
        datasets. MetaDICT can better avoid overcorrection when
        unobserved confounding variables are present.
License: Artistic-2.0
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: R (>= 4.2.0)
Imports: stats, RANN, igraph, vegan, edgeR, ecodist, ggplot2, viridis,
        ggpubr, ape, cluster, matrixStats
BugReports: https://github.com/BoYuan07/MetaDICT/issues
URL: https://github.com/BoYuan07/MetaDICT
biocViews: Microbiome, BatchEffect, Sequencing, Clustering, Software
Suggests: BiocStyle, knitr, rmarkdown, DT, ggraph, tidyverse, testthat
        (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libxml2-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 13:05:26 UTC
RemoteUrl: https://github.com/bioc/MetaDICT
RemoteRef: HEAD
RemoteSha: fabe04bd3f4589230bec9af820bdc2cd9cf38336
NeedsCompilation: no
Packaged: 2026-05-30 09:37:01 UTC; root
Author: Bo Yuan [aut, cre] (ORCID: <https://orcid.org/0009-0008-5428-4447>),
  Shulei Wang [aut]
Maintainer: Bo Yuan <boyuan5@illinois.edu>
Built: R 4.6.0; ; 2026-05-30 09:52:30 UTC; windows
