Package: Maaslin2 1.19.0
Lauren McIver
Maaslin2: "Multivariable Association Discovery in Population-scale Meta-omics Studies"
MaAsLin2 is comprehensive R package for efficiently determining multivariable association between clinical metadata and microbial meta'omic features. MaAsLin2 relies on general linear models to accommodate most modern epidemiological study designs, including cross-sectional and longitudinal, and offers a variety of data exploration, normalization, and transformation methods. MaAsLin2 is the next generation of MaAsLin.
Authors:
Maaslin2_1.19.0.tar.gz
Maaslin2_1.19.0.zip(r-4.5)Maaslin2_1.19.0.zip(r-4.4)Maaslin2_1.19.0.zip(r-4.3)
Maaslin2_1.19.0.tgz(r-4.4-any)Maaslin2_1.19.0.tgz(r-4.3-any)
Maaslin2_1.19.0.tar.gz(r-4.5-noble)Maaslin2_1.19.0.tar.gz(r-4.4-noble)
Maaslin2_1.19.0.tgz(r-4.4-emscripten)Maaslin2_1.19.0.tgz(r-4.3-emscripten)
Maaslin2.pdf |Maaslin2.html✨
Maaslin2/json (API)
NEWS
| # Install 'Maaslin2' in R: |
| install.packages('Maaslin2', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/biobakery/maaslin2/issues
On BioConductor:Maaslin2-1.19.0(bioc 3.20)Maaslin2-1.18.0(bioc 3.19)
Last updated 2 months agofrom:2f9ea7a961
Exports:Maaslin2
Dependencies:abindbackportsbiglmBiobaseBiocGenericsbitopsbootbroomcarcarDatacaToolschemometricsclasscliclustercodacodetoolscolorspacecowplotcplmcpp11data.tableDBIDEoptimRDerivdoBydplyre1071edgeRfansifarverforeachgenericsgetoptggplot2glmmTMBglmnetgluegplotsgtablegtoolshashisobanditeratorsKernSmoothlabelinglarslatticelifecyclelimmalme4lmerTestlocfitloggingmagrittrMASSMatrixMatrixModelsmatrixStatsmclustmetagenomeSeqmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivoptparsepbapplypbkrtestpcaPPpermutepheatmappillarpkgconfigplsplyrproxypsclpurrrquantregR6RColorBrewerRcppRcppEigenreshape2rlangrobustbaserpartscalesshapesomSparseMstatmodstringistringrsurvivaltibbletidyrtidyselectTMBtweedieutf8vctrsveganviridisLitewithrWrench
