Package: miaSim 1.19.0
miaSim: Microbiome Data Simulation
Microbiome time series simulation with generalized Lotka-Volterra model, Self-Organized Instability (SOI), and other models. Hubbell's Neutral model is used to determine the abundance matrix. The resulting abundance matrix is applied to (Tree)SummarizedExperiment objects.
Authors:
miaSim_1.19.0.tar.gz
miaSim_1.19.0.zip(r-4.7)miaSim_1.19.0.zip(r-4.6)miaSim_1.19.0.zip(r-4.5)
miaSim_1.19.0.tgz(r-4.6-any)miaSim_1.19.0.tgz(r-4.5-any)
miaSim_1.19.0.tar.gz(r-4.7-any)miaSim_1.19.0.tar.gz(r-4.6-any)
miaSim_1.19.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
miaSim/json (API)
NEWS
| # Install 'miaSim' in R: |
| install.packages('miaSim', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/microbiome/miasim/issues
On BioConductor:miaSim-1.19.0(bioc 3.24)miaSim-1.18.0(bioc 3.23)
microbiomesoftwaresequencingdnaseqatacseqcoveragenetwork
Last updated from:6f6c343112. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 211 | ||
| linux-devel-x86_64 | OK | 498 | ||
| source / vignettes | OK | 275 | ||
| linux-release-x86_64 | OK | 475 | ||
| macos-release-arm64 | OK | 259 | ||
| macos-oldrel-arm64 | OK | 269 | ||
| windows-devel | OK | 302 | ||
| windows-release | OK | 282 | ||
| windows-oldrel | OK | 315 | ||
| wasm-release | OK | 160 |
Exports:.simulationTimespowerlawArandomArandomErdirichletsimulateConsumerResourcesimulateEventTimessimulateGLVsimulateHubbellsimulateHubbellRatessimulateRickersimulateSOIsimulateStochasticLogistic
Dependencies:abindapeBHBiobaseBiocGenericsBiocParallelBiostringsclicodetoolscpp11crayonDelayedArraydeSolvedigestdplyrformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesglueIRangesjsonlitelambda.rlatticelazyevallifecyclemagrittrMatrixMatrixGenericsmatrixStatsnlmepillarpkgconfigpoweRlawpracmapurrrR6rappdirsRcpprlangS4ArraysS4VectorsSeqinfoSingleCellExperimentsnowSparseArraystringistringrSummarizedExperimenttibbletidyrtidyselecttidytreetreeioTreeSummarizedExperimentutf8vctrswithrXVectoryulab.utils
