Package: findIPs 1.1.0

Shuo Wang

findIPs: Influential Points Detection for Feature Rankings

Feature rankings can be distorted by a single case in the context of high-dimensional data. The cases exerts abnormal influence on feature rankings are called influential points (IPs). The package aims at detecting IPs based on case deletion and quantifies their effects by measuring the rank changes (DOI:10.48550/arXiv.2303.10516). The package applies a novel rank comparing measure using the adaptive weights that stress the top-ranked important features and adjust the weights to ranking properties.

Authors:Shuo Wang [aut, cre], Junyan Lu [aut]

findIPs_1.1.0.tar.gz
findIPs_1.1.0.zip(r-4.5)findIPs_1.1.0.zip(r-4.4)findIPs_1.1.0.zip(r-4.3)
findIPs_1.1.0.tgz(r-4.4-any)findIPs_1.1.0.tgz(r-4.3-any)
findIPs_1.1.0.tar.gz(r-4.5-noble)findIPs_1.1.0.tar.gz(r-4.4-noble)
findIPs_1.1.0.tgz(r-4.4-emscripten)findIPs_1.1.0.tgz(r-4.3-emscripten)
findIPs.pdf |findIPs.html
findIPs/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/shuostat/findips/issues

Datasets:

On BioConductor:findIPs-1.1.0(bioc 3.20)findIPs-1.0.0(bioc 3.19)

bioconductor-package

6 exports 1.16 score 38 dependencies

Last updated 2 months agofrom:fda12ef526

Exports:findIPsgetdrop1ranksplotAdaptiveWeightsplotIPsplotRankScatterssumRanks

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelcodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelambda.rlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorssnowSparseArraySummarizedExperimentsurvivalsysUCSC.utilsXVectorzlibbioc

findIPs: Detect Influential Points for Feature Rankings

Rendered fromfindIPs.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2024-03-19
Started: 2024-02-29