Package: censcyt 1.21.0

Reto Gerber
censcyt: Differential abundance analysis with a right censored covariate in high-dimensional cytometry
Methods for differential abundance analysis in high-dimensional cytometry data when a covariate is subject to right censoring (e.g. survival time) based on multiple imputation and generalized linear mixed models.
Authors:
censcyt_1.21.0.tar.gz
censcyt_1.21.0.zip(r-4.7)censcyt_1.21.0.zip(r-4.6)censcyt_1.21.0.zip(r-4.5)
censcyt_1.21.0.tgz(r-4.6-any)censcyt_1.21.0.tgz(r-4.5-any)
censcyt_1.21.0.tar.gz(r-4.7-any)censcyt_1.21.0.tar.gz(r-4.6-any)
censcyt_1.21.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
censcyt/json (API)
NEWS
| # Install 'censcyt' in R: |
| install.packages('censcyt', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/retogerber/censcyt/issues
On BioConductor:censcyt-1.21.0(bioc 3.24)censcyt-1.20.0(bioc 3.23)
immunooncologyflowcytometryproteomicssinglecellcellbasedassayscellbiologyclusteringfeatureextractionsoftwaresurvival
Last updated from:8bd67697e5. Checks:8 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 238 | ||
| linux-devel-x86_64 | NOTE | 445 | ||
| source / vignettes | OK | 378 | ||
| linux-release-x86_64 | NOTE | 454 | ||
| macos-release-arm64 | NOTE | 263 | ||
| macos-oldrel-arm64 | NOTE | 269 | ||
| windows-devel | NOTE | 348 | ||
| windows-release | NOTE | 324 | ||
| windows-oldrel | NOTE | 325 | ||
| wasm-release | OK | 192 |
Exports:censcytconditional_multiple_imputationcreateFormulasimulate_multiclustersimulate_singleclustertestDA_censoredGLMM
Dependencies:abindALLbackportsbase64encBHBiobaseBiocGenericsbiocmakeBiocParallelbitbit64bootbroombroom.mixedcarcarDatacirclizeclicliprclueclustercodacodetoolscolorRampscolorspaceComplexHeatmapConsensusClusterPluscorrplotcowplotcpp11crayoncytolibDelayedArrayDerivdiffcytdigestdir.expirydirmultdoBydoParalleldplyredgeRfarverfilelockfitdistrplusflowCoreFlowSOMforcatsforeachforecastformatRFormulafracdifffurrrfutile.loggerfutile.optionsfuturegenericsGenomicRangesGetoptLongggforceggnewscaleggplot2ggpubrggrepelggsciggsignifglmnetGlobalOptionsglobalsgluegridExtragtablehavenhmsigraphIRangesisobanditeratorsjomojsonlitelabelinglambda.rlatticelifecyclelimmalistenvlme4lmtestlocfitmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmgcvmicemicrobenchmarkminqamitmlmodelrmultcompmvtnormnlmenloptrnnetnumDerivordinalpanparallellypbkrtestpillarpkgconfigplyrpngpolyclippolynomprettyunitsprogresspurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasreshape2Rhdf5librjsonrlangrpartRProtoBufLibrstatixRtsneS4ArraysS4VectorsS7sandwichscalesSeqinfoshapesnowSparseArraySparseMstatmodstringistringrSummarizedExperimentsurvivalsystemfontsTH.datatibbletidyrtidyselecttimeDatetweenrtzdbucminfurcautf8vctrsviridisLitevroomwithrXMLXVectorzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Run 'censcyt' pipeline | censcyt-package censcyt |
| Conditional multiple imputation | conditional_multiple_imputation |
| Create model formula and corresponding data frame of variables | createFormula |
| Simulate multicluster counts with time dependent association from a Dirichlet-Multinomial distribution | simulate_multicluster |
| Simulation of data with a censored covariate | simulate_singlecluster |
| Test for differential abundance: method 'censcyt-DA-censored-GLMM' | testDA_censoredGLMM |