Package: dtComb 1.0.4
dtComb: Statistical Combination of Diagnostic Tests
A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.
Authors:
dtComb_1.0.4.tar.gz
dtComb_1.0.4.zip(r-4.5)dtComb_1.0.4.zip(r-4.4)dtComb_1.0.4.zip(r-4.3)
dtComb_1.0.4.tgz(r-4.4-any)dtComb_1.0.4.tgz(r-4.3-any)
dtComb_1.0.4.tar.gz(r-4.5-noble)dtComb_1.0.4.tar.gz(r-4.4-noble)
dtComb_1.0.4.tgz(r-4.4-emscripten)dtComb_1.0.4.tgz(r-4.3-emscripten)
dtComb.pdf |dtComb.html✨
dtComb/json (API)
# Install 'dtComb' in R: |
install.packages('dtComb', repos = c('https://gokmenzararsiz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gokmenzararsiz/dtcomb/issues
- allMethods - Includes machine learning models used for the mlComb function
- exampleData1 - Examples data for the dtComb package
- exampleData2 - A data set containing the carriers of a rare genetic disorder for 120 samples.
- exampleData3 - A simulation data containing 250 diseased and 250 healthy individuals.
Last updated 3 months agofrom:6d0c481e31. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-win | OK | Dec 09 2024 |
R-4.5-linux | OK | Dec 09 2024 |
R-4.4-win | OK | Dec 09 2024 |
R-4.4-mac | OK | Dec 09 2024 |
R-4.3-win | OK | Dec 09 2024 |
R-4.3-mac | OK | Dec 09 2024 |
Exports:availableMethodshelper_minimaxhelper_minmaxhelper_PCLhelper_PThelper_TSlinCombmathCombmlCombnonlinCombplotCombstd.traintransform_math
Dependencies:abindaskpassbackportsbase64encBiasedUrnbootbroombslibcachemcarcarDatacaretclassclassIntcliclockcodetoolscolorspacecorrplotcowplotcpp11data.tableDBIDerivdiagramdigestdoBydplyre1071epiRevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforeachFormulafsfuturefuture.applygamgdtoolsgenericsggplot2ggpubrggrepelggsciggsignifglmnetglobalsgluegowergridExtragtablehardhathighrhtmltoolsipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlme4lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqaModelMetricsmodelrmunsellnlmenloptrnnetnumDerivofficeropensslOptimalCutpointspanderparallellypbkrtestpillarpkgconfigplyrpolynompROCprodlimprogressrproxypurrrquantregR6raggrappdirsRColorBrewerRcppRcppEigenrecipesreshape2rlangrmarkdownrpartrstatixs2sassscalessfshapeSparseMSQUAREMstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttimechangetimeDatetinytextzdbunitsutf8uuidvctrsviridisLitewithrwkxfunxml2yamlzipzoo