Package: o2plsda 0.0.25
o2plsda: Multiomics Data Integration
Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.
Authors:
o2plsda_0.0.25.tar.gz
o2plsda_0.0.25.tar.gz(r-4.5-noble)o2plsda_0.0.25.tar.gz(r-4.4-noble)
o2plsda_0.0.25.tgz(r-4.4-emscripten)o2plsda_0.0.25.tgz(r-4.3-emscripten)
o2plsda.pdf |o2plsda.html✨
o2plsda/json (API)
# Install 'o2plsda' in R: |
install.packages('o2plsda', repos = c('https://cran.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 5 months agofrom:6262ff9bcd. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-linux-x86_64 | OK | Nov 16 2024 |
Exports:AtAcolsdscolumn_sumseigenmulteigenthreegetMCCV_cpploadingsloadings.O2plsloadings.o2plsdaloadings.plsdao2cvo2plsoplsoplsdaorder_cpporder_strplot.O2plsplot.o2plsdaplot.plsdaplsdaprint.O2plsprint.plsdaQrcpp_rmses2sample_cppsample_lapplyscoresscores.O2plsscores.o2plsdascores.plsdasort_strsplit_strsummary.O2plssummary.plsdaunlist_cppvip
Dependencies:clicolorspacedplyrfansifarvergenericsggplot2ggrepelgluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbletidyselectutf8vctrsviridisLitewithr