Package: LPKsample 2.1

Kaijun Wang

LPKsample: LP Nonparametric High Dimensional K-Sample Comparison

LP nonparametric high-dimensional K-sample comparison method that includes (i) confirmatory test, (ii) exploratory analysis, and (iii) options to output a data-driven LP-transformed matrix for classification. The primary reference is Mukhopadhyay, S. and Wang, K. (2020, Biometrika); <arxiv:1810.01724>.

Authors:Subhadeep Mukhopadhyay, Kaijun Wang

LPKsample_2.1.tar.gz
LPKsample_2.1.zip(r-4.7)LPKsample_2.1.zip(r-4.6)LPKsample_2.1.zip(r-4.5)
LPKsample_2.1.tgz(r-4.6-any)LPKsample_2.1.tgz(r-4.5-any)
LPKsample_2.1.tar.gz(r-4.7-any)LPKsample_2.1.tar.gz(r-4.6-any)
LPKsample_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LPKsample/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:
  • leukemia - Leukemia cancer gene expression data

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 5 scripts 197 downloads 6 exports 74 dependencies

Last updated from:c493d87788 (on package/LPKsample). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK197
linux-release-x86_64OK146
macos-release-arm64OK134
macos-oldrel-arm64OK141
windows-develOK92
windows-releaseOK101
windows-oldrelOK93
wasm-releaseOK120

Exports:GLPgraph.clust.testLP.comeanLP.PolyLPTW.Gen

Dependencies:abindapclusterbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclelme4lmtestLPGraphmagrittrMASSMatrixMatrixModelsmclustmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigPMApurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo