Package: OpenStats 1.17.0

Marina Kan

OpenStats: A Robust and Scalable Software Package for Reproducible Analysis of High-Throughput genotype-phenotype association

Package contains several methods for statistical analysis of genotype to phenotype association in high-throughput screening pipelines.

Authors:Hamed Haseli Mashhadi

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# Install 'OpenStats' in R:
install.packages('OpenStats', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:OpenStats-1.17.0(bioc 3.20)OpenStats-1.16.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

4 exports 0.82 score 115 dependencies 1 mentions

Last updated 2 months agofrom:9a7a5ddbd3

Exports:OpenStatsAnalysisOpenStatsComplementarySplitOpenStatsListOpenStatsReport

Dependencies:abindAICcmodavgbackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclustercodetoolscolorspacecowplotcpp11crayoncurldata.tableDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lobstrlubridatemagickmagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpanderpbkrtestpillarpkgconfigplyrprettyunitspryrpurrrquantregR6rappdirsrapportoolsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrlistrmarkdownrpartrstudioapisassscalesSparseMstringistringrsummarytoolssurvivaltibbletidyrtidyselecttimechangetinytexTMBunmarkedutf8vctrsVGAMviridisviridisLitewithrxfunXMLxtableyaml

OpenStats: A Robust and Scalable Software Package for Reproducible Analysis of High-Throughput Phenotypic Data

Rendered fromOpenStats.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2020-04-21
Started: 2020-03-31