Package: biospear 1.0.2

biospear: Biomarker Selection in Penalized Regression Models

Provides some tools for developing and validating prediction models, estimate expected survival of patients and visualize them graphically. Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006) <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>), or others. A function generating simulated survival data set is also provided.

Authors:Nils Ternes [aut], Federico Rotolo [aut], Stefan Michiels [aut, cre]

biospear_1.0.2.tar.gz
biospear_1.0.2.zip(r-4.7-any)biospear_1.0.2.zip(r-4.6-any)biospear_1.0.2.zip(r-4.5-any)
biospear_1.0.2.tgz(r-4.6-any)biospear_1.0.2.tgz(r-4.5-any)
biospear_1.0.2.tar.gz(r-4.7-any)biospear_1.0.2.tar.gz(r-4.6-any)
biospear_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
biospear/json (API)

# Install 'biospear' in R:
install.packages('biospear', repos = c('https://stefanmichielsgr.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Breast - Early breast cancer data

On CRAN:

Conda:

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

1.48 score 3 scripts 311 downloads 3 mentions 6 exports 231 dependencies

Last updated from:45bd46eaa0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK319
source / vignettesOK1177
linux-release-x86_64OK283
macos-release-arm64OK225
macos-oldrel-arm64OK283
windows-develOK210
windows-releaseOK187
windows-oldrelOK212
wasm-releaseOK262

Exports:BMselexpSurvpredResselRessimdatasimdataV

Dependencies:abindaskpassbackportsbase64encBHBiocParallelbipartitebitopsbootbootstrapbrewbriobroombslibcachemcallrcarcarDatacheckmateclassclicliprclustercobscodacodetoolscolorspacecommonmarkcorpcorcowplotcpp11crayoncredentialscurldata.tableDerivdescdevtoolsdiagramdiffobjdigestdoBydotCall64downlitdplyrellipseellipsisevaluatefansifarverfastmapfieldsfontawesomeforeachforecastforeignformatRFormulafracdifffsfutile.loggerfutile.optionsfuturefuture.applygenericsgertggplot2ggrepelgitcredsglmnetglobalsgluegridExtragrplassogtablehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvhttr2igraphiniinumipredisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrlabelinglambda.rlarslaterlatticelavalibcoinlifecyclelistenvlme4lmtestmagrittrmapsMASSMatrixMatrixModelsmatrixStatsmboostmemoisemgcvmimeminiUIminqamixOmicsmodelrmultcompmvtnormnetworknlmenloptrnnetnnlsnumDerivopensslotelpakparallellypartykitpbkrtestpermutepillarpkgbuildpkgconfigpkgdownpkgloadplsplsRcoxplsRglmplyrpolsplinepraiseprettyunitspROCprocessxprodlimprofvisprogressrpromisesPRROCpspurrrquadprogquantregR6raggrappdirsrARPACKrbibutilsrcmdcheckRColorBrewerRcppRcppArmadilloRcppEigenRCurlRdpackreformulasreshape2rglrisksetROCrlangrmarkdownrmetarmsroxygen2rpartrprojrootRSpectrarstudioapirversionsS7sandwichsassscalessessioninfoshapeshinysnasnowsourcetoolsspamSparseMSQUAREMstabsstatnet.commonstringistringrSuppDistssurvAUCsurvcompsurvivalsurvivalROCsyssystemfontstestthattextshapingTH.datatibbletidyrtidyselecttimeDatetinytexurcaurlcheckerusethisutf8vctrsveganviridisLitewaldowhiskerwithrxfunxml2xopenxtableyamlzipzoo