Package: gwasurvivr 1.25.0
gwasurvivr: gwasurvivr: an R package for genome wide survival analysis
gwasurvivr is a package to perform survival analysis using Cox proportional hazard models on imputed genetic data.
Authors:
gwasurvivr_1.25.0.tar.gz
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gwasurvivr.pdf |gwasurvivr.html✨
gwasurvivr/json (API)
NEWS
# Install 'gwasurvivr' in R: |
install.packages('gwasurvivr', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/suchestoncampbelllab/gwasurvivr/issues
On BioConductor:gwasurvivr-1.25.0(bioc 3.21)gwasurvivr-1.24.0(bioc 3.20)
genomewideassociationsurvivalregressiongeneticssnpgeneticvariabilitypharmacogenomicsbiomedicalinformatics
Last updated 2 months agofrom:dd7257d1ed. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-win | OK | Nov 29 2024 |
R-4.5-linux | OK | Nov 29 2024 |
R-4.4-win | OK | Nov 29 2024 |
R-4.4-mac | OK | Nov 29 2024 |
R-4.3-win | OK | Nov 29 2024 |
R-4.3-mac | OK | Nov 29 2024 |
Exports:gdsCoxSurvimpute2CoxSurvmichiganCoxSurvplinkCoxSurvsangerCoxSurv
Dependencies:abindAnnotationDbiaskpassbackportsBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobbootbroomBSgenomecachemclicliprcodetoolscpp11crayoncurldata.tableDBIDelayedArrayDNAcopydplyrfansifastmapforcatsforeachformatRformula.toolsfutile.loggerfutile.optionsgdsfmtgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesglmnetglueGWASExactHWGWASToolshavenhmshttrIRangesiteratorsjomojsonliteKEGGRESTlambda.rlatticelifecyclelme4lmtestlogistfmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicemimeminqamitmlnlmenloptrnnetnumDerivopenssloperator.toolsordinalpanpillarpkgconfigplogrpngprettyunitsprogresspurrrquantregquantsmoothR6RcppRcppEigenRCurlreadrrestfulrRhtslibrjsonrlangrpartRsamtoolsRSQLitertracklayerS4ArraysS4VectorssandwichshapesnowSNPRelateSparseArraySparseMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttzdbucminfUCSC.utilsutf8VariantAnnotationvctrsvroomwithrXMLXVectoryamlzlibbioczoo