Package: resemble
Type: Package
Title: Memory-Based Learning in Spectral Chemometrics
Version: 2.0.0
Date: 2020-10-29
Author: Leonardo Ramirez-Lopez [aut, cre], 
    Antoine Stevens [aut, ctb],
    Raphael Viscarra Rossel [ctb],
    Craig Lobsey [ctb], 
    Alex Wadoux [ctb],
    Timo Breure [ctb]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>
BugReports: https://github.com/l-ramirez-lopez/resemble/issues
Description: 
    Functions for dissimilarity analysis and memory-based learning 
    (MBL, a.k.a local modeling) in complex spectral data sets. 
    Most of these functions are based the methods presented in 
    Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.
License: MIT + file LICENSE
URL: http://l-ramirez-lopez.github.io/resemble/
Depends: R (>= 3.5.0)
Imports: foreach, iterators, Rcpp (>= 1.0.3), mathjaxr (>= 1.0),
        magrittr (>= 1.5.0), lifecycle (>= 0.2.0), data.table (>=
        1.9.8)
Suggests: prospectr, parallel, doParallel, testthat, formatR,
        rmarkdown, bookdown, knitr
LinkingTo: Rcpp, RcppArmadillo
RdMacros: mathjaxr
VignetteBuilder: knitr
NeedsCompilation: yes
LazyData: true
Repository: CRAN
RoxygenNote: 7.1.1
Encoding: UTF-8
Packaged: 2020-10-29 18:31:46 UTC; NIR_Workstation
Date/Publication: 2020-11-09 11:20:03 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-05-12 19:45:12 UTC; windows
Archs: i386, x64
