Package: KODAMA
Version: 1.4
Date: 2017-01-15
Author: Stefano Cacciatore, Leonardo Tenori, Claudio Luchinat, Phillip R. Bennett, and David A. MacIntyre
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.
Depends: R (>= 2.10.0), stats
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, knitr, rmarkdown
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2017-01-16 11:42:26 UTC; scacciat
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2017-01-17 00:15:21
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 07:14:40 UTC; windows
Archs: i386, x64
