Package: SARP.compo 0.1.8
SARP.compo: Network-Based Interpretation of Changes in Compositional Data
Provides a set of functions to interpret changes in compositional data based on a network representation of all pairwise ratio comparisons: computation of all pairwise ratio, construction of a p-value matrix of all pairwise tests of these ratios between conditions, conversion of this matrix to a network.
Authors:
SARP.compo_0.1.8.tar.gz
SARP.compo_0.1.8.zip(r-4.5)SARP.compo_0.1.8.zip(r-4.4)SARP.compo_0.1.8.zip(r-4.3)
SARP.compo_0.1.8.tgz(r-4.4-any)SARP.compo_0.1.8.tgz(r-4.3-any)
SARP.compo_0.1.8.tar.gz(r-4.5-noble)SARP.compo_0.1.8.tar.gz(r-4.4-noble)
SARP.compo_0.1.8.tgz(r-4.4-emscripten)SARP.compo_0.1.8.tgz(r-4.3-emscripten)
SARP.compo.pdf |SARP.compo.html✨
SARP.compo/json (API)
# Install 'SARP.compo' in R: |
install.packages('SARP.compo', repos = c('https://ecuris.r-universe.dev', 'https://cloud.r-project.org')) |
- BpLi_J2 - Circadian Genes Expression in Bipolar Disorder Patients
- BpLi_J4 - Circadian Genes Expression in Bipolar Disorder Patients
- GADL1 - Gene expression change in bipolar disorder
- SCH23390 - Effect of MDMA and SCH23390 on gene expression
- generef - Expression level of candidate reference genes
- poteries - Composition of Roman poteries
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:9fdb795439. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 02 2024 |
R-4.5-win | OK | Sep 02 2024 |
R-4.5-linux | OK | Sep 02 2024 |
R-4.4-win | OK | Sep 02 2024 |
R-4.4-mac | OK | Sep 02 2024 |
R-4.3-win | OK | Sep 02 2024 |
R-4.3-mac | OK | Sep 02 2024 |
Exports:anva_SC.fpcanva1.fpcanva1vi.fpcarbre.Mpcalc.rapportschoisir.seuilchoisir.seuil.equivcoupures.Mpcreer.DFpcreer.Fpcreer.Mpdistrib.distancesequiv.fpcestimer.alphaestimer.puissancegrf.DFpgrf.Fpgrf.Mpkw.fpcmodele_compoMp.DFprls.fpcstudent.fpc
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr