Package: LPKsample 2.1

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-4.5)LPKsample_2.1.zip(r-4.4)LPKsample_2.1.zip(r-4.3)
LPKsample_2.1.tgz(r-4.4-any)LPKsample_2.1.tgz(r-4.3-any)
LPKsample_2.1.tar.gz(r-4.5-noble)LPKsample_2.1.tar.gz(r-4.4-noble)
LPKsample_2.1.tgz(r-4.4-emscripten)LPKsample_2.1.tgz(r-4.3-emscripten)
LPKsample.pdf |LPKsample.html✨
LPKsample/json (API)

# Install 'LPKsample' in R:
install.packages('LPKsample', repos = c('https://kaijunwang19.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • leukemia - Leukemia cancer gene expression data

On CRAN:

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

1.00 score 5 scripts 161 downloads 6 exports 65 dependencies

Last updated 4 years agofrom:7bb53e030f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

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

Dependencies:abindapclusterbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclelme4LPGraphmagrittrMASSMatrixMatrixModelsmclustmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigPMApurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr