Package: SubgrpID 0.12

Xin Huang

SubgrpID: Patient Subgroup Identification for Clinical Drug Development

Implementation of Sequential BATTing (bootstrapping and aggregating of thresholds from trees) for developing threshold-based multivariate (prognostic/predictive) biomarker signatures. Variable selection is automatically built-in. Final signatures are returned with interaction plots for predictive signatures. Cross-validation performance evaluation and testing dataset results are also output. Detail algorithms are described in Huang et al (2017) <doi:10.1002/sim.7236>.

Authors:Xin Huang [aut, cre, cph], Yan Sun [aut], Saptarshi Chatterjee [aut], Paul Trow [aut]

SubgrpID_0.12.tar.gz
SubgrpID_0.12.tar.gz(r-4.5-noble)SubgrpID_0.12.tar.gz(r-4.4-noble)
SubgrpID_0.12.tgz(r-4.4-emscripten)SubgrpID_0.12.tgz(r-4.3-emscripten)
SubgrpID.pdf |SubgrpID.html
SubgrpID/json (API)

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

Peer review:

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

1.00 score 3 scripts 158 downloads 3 exports 37 dependencies

Last updated 11 months agofrom:c7e91038c0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:data.genfilterSubgrpID

Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangrpartscalesshapesurvivaltibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
balanced.foldsbalanced.folds
batting.predbatting.pred
batting.progbatting.prog
binary.statsbinary.stats
cv.foldscv.folds
cv.pvalcv.pval
cv.seqlr.battingcv.seqlr.batting
data.gendata.gen
evaluate.cv.resultsevaluate.cv.results
evaluate.resultsevaluate.results
filterfilter
filter.glmnetfilter.glmnet
filter.unicartfilter.unicart
filter.univariatefilter.univariate
find.pred.statsfind.pred.stats
find.prog.statsfind.prog.stats
get.var.counts.seqget.var.counts.seq
interaction.plotinteraction.plot
kfold.cvkfold.cv
make.arg.listmake.arg.list
permute.rowspermute.rows
permute.vectorpermute.vector
pred.seqlrpred.seqlr
pred.seqlr.cvpred.seqlr.cv
query.dataquery.data
resampleresample
seqlr.battingseqlr.batting
seqlr.batting.wrapperseqlr.batting.wrapper
seqlr.find.cutoff.predseqlr.find.cutoff.pred
seqlr.find.cutoff.progseqlr.find.cutoff.prog
seqlr.score.predseqlr.score.pred
seqlr.score.progseqlr.score.prog
SubgrpIDSubgrpID
summarize.cv.statssummarize.cv.stats