Package: KODAMA
Version: 1.9
Date: 2022-03-29
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: An unsupervised and semi-supervised learning algorithm that performs feature extraction 
  from noisy and high-dimensional data. It facilitates identification of patterns representing underlying 
  groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. 
  (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) 
  Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Depends: R (>= 2.10.0), stats, minerva
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, knitr, rmarkdown
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2022-03-29 13:44:07 UTC; User
NeedsCompilation: yes
Repository: CRAN
Author: Stefano Cacciatore [aut, trl, cre]
    (<https://orcid.org/0000-0001-7052-7156>),
  Leonardo Tenori [aut] (<https://orcid.org/0000-0001-6438-059X>)
Date/Publication: 2022-04-01 12:10:12 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 04:45:11 UTC; windows
Archs: i386, x64
