Package: scrime 1.3.5
scrime: Analysis of High-Dimensional Categorical Data Such as SNP Data
Tools for the analysis of high-dimensional data developed/implemented at the group "Statistical Complexity Reduction In Molecular Epidemiology" (SCRIME). Main focus is on SNP data. But most of the functions can also be applied to other types of categorical data.
Authors:
scrime_1.3.5.tar.gz
scrime_1.3.5.zip(r-4.5)scrime_1.3.5.zip(r-4.4)scrime_1.3.5.zip(r-4.3)
scrime_1.3.5.tgz(r-4.4-any)scrime_1.3.5.tgz(r-4.3-any)
scrime_1.3.5.tar.gz(r-4.5-noble)scrime_1.3.5.tar.gz(r-4.4-noble)
scrime_1.3.5.tgz(r-4.4-emscripten)scrime_1.3.5.tgz(r-4.3-emscripten)
scrime.pdf |scrime.html✨
scrime/json (API)
# Install 'scrime' in R: |
install.packages('scrime', repos = c('https://holgerschw.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:cf0033dbfe. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 18 2024 |
R-4.5-win | NOTE | Oct 18 2024 |
R-4.5-linux | NOTE | Oct 18 2024 |
R-4.4-win | NOTE | Oct 18 2024 |
R-4.4-mac | NOTE | Oct 18 2024 |
R-4.3-win | NOTE | Oct 18 2024 |
R-4.3-mac | NOTE | Oct 18 2024 |
Exports:abfanalyse.modelsbuildSNPannotationcanberra2Matscohencohen2MatscolEpistaticcomputeContCellscomputeContClasseuclidean2Matsfblrfblr.weightgetMatFuzzygknnidentifyMonomorphismknncatimputeknncatimputeLargemanhattan2Matsmaximum2Matsminkowski2MatspamCatpccpcc2MatspredictFBLRrecodeAffySNPrecodeSNPsrowCATTsrowChisq2ClassrowChisqMultiClassrowChisqStatsrowCorsrowEpistaticrowFreqsrowHWEsrowMAFsrowMsquaresrowScalesrowTablesrowTrendFuzzyrowTrendStatsshortenGeneDescriptionshowChangessimulateSNPcatResponsesimulateSNPglmsimulateSNPssmcsmc2Matssnp2bin
Dependencies: