Package: KODAMA
Version: 3.3
Date: 2026-03-17
Authors@R: c(person("Stefano", "Cacciatore", role = c("aut", "trl", "cre"),email = "tkcaccia@gmail.com", comment = c(ORCID = "0000-0001-7052-7156")),
             person("Leonardo", "Tenori", role = "aut",email = "tenori@cerm.unifi.it", comment = c(ORCID = "0000-0001-6438-059X")))
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Knowledge Discovery by Accuracy Maximization
Description: A self-guided, weakly supervised learning algorithm for feature extraction from noisy and 
  high-dimensional data. It facilitates the identification of patterns that reflect underlying group 
  structures across all samples in a dataset. The method incorporates a novel strategy to integrate 
  spatial information, improving the clarity of results in spatially resolved data.
Depends: R (>= 2.10.0), stats, Rtsne, umap
Imports: Rcpp (>= 0.12.4), Rnanoflann, methods, Matrix
LinkingTo: Rcpp, RcppArmadillo, Rnanoflann, Matrix
Suggests: rgl, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
SuggestsNote: No suggestions
LazyData: true
LazyDataCompression: xz
Config/testthat/edition: 3
License: GPL (>= 2)
Packaged: 2026-03-17 13:55:56 UTC; stefano
NeedsCompilation: yes
Repository: CRAN
Author: Stefano Cacciatore [aut, trl, cre] (ORCID:
    <https://orcid.org/0000-0001-7052-7156>),
  Leonardo Tenori [aut] (ORCID: <https://orcid.org/0000-0001-6438-059X>)
Date/Publication: 2026-03-17 15:30:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-08-30 19:00:20 UTC; windows
Archs: x64
