Package: ttScreening 1.8

Meredith Ray

ttScreening: Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples

A screening process utilizing training and testing samples to filter out uninformative DNA methylation sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process to explain unknown factor effects. This package also provides two screening functions for screening high-dimensional predictors when the events are rare. The firth method is called 'Rare-Screening' which employs a repeated random sampling with replacement and using linear modeling with Bayes adjustment. The Second method is called 'Firth-ttScreening' which uses 'ttScreening' method with additional Firth correction term in the maximum likelihood for the logistic regression model. These methods handle the high-dimensionality and low event rates.

Authors:Meredith Ray [aut, cre], Mohammad Nahian Ferdous Abrar [aut], Yu Jiang [aut], Xin Tong [aut], Hongmei Zhang [aut]

ttScreening_1.8.tar.gz
ttScreening_1.8.tar.gz(r-4.7-any)ttScreening_1.8.tar.gz(r-4.6-any)
ttScreening_1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
ttScreening/json (API)

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

On CRAN:

Conda:

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

1.85 score 217 downloads 7 mentions 6 exports 70 dependencies

Last updated from:7b199c76ef. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK221
source / vignettesOK239
linux-release-x86_64OK239
wasm-releaseOK150

Exports:firth_screeningirwsva.build2num.sv2Rare_Screeningsva2ttScreening

Dependencies:annotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobbrglm2cachemclicodetoolscolorspacecorpcorcpp11crayoncurlDBIedgeRenrichwithfastmapformatRfutile.loggerfutile.optionsgenefiltergenericsgluegridBasehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclelimmalocfitMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimenleqslvnlmennetnumDerivopensslpkgconfigpngR6rlangRSQLiteS4VectorsSeqinfosfsmiscsimsalaparsnowstatmodsurvivalsvasysvctrsXMLxtableXVector