Encoding: UTF-8 Package: multiblock Type: Package Title: Multiblock Data Fusion in Statistics and Machine Learning Version: 0.8.8 Date: 2024-01-26 Authors@R: c(person(given = "Kristian Hovde", family = "Liland", role = c("aut", "cre"), email = "kristian.liland@nmbu.no", comment = c(ORCID = "0000-0001-6468-9423")), person(given = "Solve", family = "Sæbø", role = c("ctb")), person(given = "Stefan", family = "Schrunner", role = c("rev"))) Description: Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications. License: GPL (>= 2) URL: https://khliland.github.io/multiblock/, https://github.com/khliland/multiblock/ BugReports: https://github.com/khliland/multiblock/issues/ Depends: R (>= 3.5.0) Imports: ade4, car, lme4, MASS, mixlm, plotrix, pls, plsVarSel, pracma, progress, Rcpp, RSpectra, SSBtools Suggests: EMSC, FactoMineR, geigen, RGCCA (>= 3.0.0), r.jive, rmarkdown, knitr LinkingTo: Rcpp, RcppEigen RoxygenNote: 7.3.1 VignetteBuilder: knitr NeedsCompilation: yes Packaged: 2024-01-26 14:31:31 UTC; kristian Author: Kristian Hovde Liland [aut, cre] (), Solve Sæbø [ctb], Stefan Schrunner [rev] Maintainer: Kristian Hovde Liland Repository: CRAN Date/Publication: 2024-01-26 15:00:02 UTC Built: R 4.2.3; x86_64-pc-linux-gnu; 2024-03-06 19:41:50 UTC; unix