Package: coda4microbiome 0.2.4
coda4microbiome: Compositional Data Analysis for Microbiome Studies
Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.
Authors:
coda4microbiome_0.2.4.tar.gz
coda4microbiome_0.2.4.zip(r-4.5)coda4microbiome_0.2.4.zip(r-4.4)coda4microbiome_0.2.4.zip(r-4.3)
coda4microbiome_0.2.4.tgz(r-4.4-any)coda4microbiome_0.2.4.tgz(r-4.3-any)
coda4microbiome_0.2.4.tar.gz(r-4.5-noble)coda4microbiome_0.2.4.tar.gz(r-4.4-noble)
coda4microbiome_0.2.4.tgz(r-4.4-emscripten)coda4microbiome_0.2.4.tgz(r-4.3-emscripten)
coda4microbiome.pdf |coda4microbiome.html✨
coda4microbiome/json (API)
| # Install 'coda4microbiome' in R: |
| install.packages('coda4microbiome', repos = c('https://tonisusin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/malucalle/coda4microbiome/issues
Last updated 4 months agofrom:0435c7319a. Checks:OK: 6 WARNING: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-win | OK | Nov 15 2024 |
| R-4.5-linux | WARNING | Nov 15 2024 |
| R-4.4-win | OK | Nov 15 2024 |
| R-4.4-mac | OK | Nov 15 2024 |
| R-4.3-win | OK | Nov 15 2024 |
| R-4.3-mac | OK | Nov 15 2024 |
Exports:coda_coxnetcoda_glmnetcoda_glmnet_longitudinalcoda_glmnet_longitudinal_nullcoda_glmnet_nullexplore_logratiosexplore_lr_longitudinalexplore_zerosfilter_longitudinalimpute_zeroslogratios_matrixplot_predictionplot_riskscoreplot_signatureplot_signature_curvesplot_survcurvesshannonshannon_effnumshannon_sim
Dependencies:abindbackportsBiocGenericsbootbroomcarcarDatacirclizecliclueclustercodetoolscolorspacecommonmarkComplexHeatmapcorrplotcowplotcpp11crayoncurldata.tableDerivdigestdoBydoParalleldplyrevaluateexactRankTestsfansifarverforeachFormulagenericsGetoptLongggplot2ggpubrggrepelggsciggsignifggtextglmnetGlobalOptionsgluegridExtragridtextgtablehighrIRangesisobanditeratorsjpegkm.ciKMsurvknitrlabelinglatticelifecyclelme4magrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpngpolynompROCpurrrquantregR6RColorBrewerRcppRcppEigenrjsonrlangrstatixS4VectorsscalesshapeSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2xtableyamlzoo
