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:
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')) |
- leukemia - Leukemia cancer gene expression data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:7bb53e030f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 17 2024 |
| R-4.5-win | OK | Sep 17 2024 |
| R-4.5-linux | OK | Sep 17 2024 |
| R-4.4-win | OK | Sep 17 2024 |
| R-4.4-mac | OK | Sep 17 2024 |
| R-4.3-win | OK | Sep 17 2024 |
| R-4.3-mac | OK | Sep 17 2024 |
Exports:GLPgraph.clust.testLP.comeanLP.PolyLPTW.Gen
Dependencies:abindapclusterbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclelme4LPGraphmagrittrMASSMatrixMatrixModelsmclustmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigPMApurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| LP Nonparametric High Dimensional K-Sample Comparison | LPKsample-package LPKsample |
| A function to perform K-sample test using GLP algorithm | GLP graph.clust.test |
| Leukemia cancer gene expression data | leukemia |
| Function to find LP-comeans | LP.comean |
| eLP Transformation | LP.Poly LPT |
| Similarity matrix based on eLP basis and polynomial kernel | W.Gen |
