DESCRIPTION

Package: resemble
Type: Package
Title: Memory-Based Learning in Spectral Chemometrics
Version: 2.2.2
Date: 2023-04-19
Author: Leonardo Ramirez-Lopez [aut, cre], 
    Antoine Stevens [aut, ctb],
    Claudio Orellano [ctb],
    Raphael Viscarra Rossel [ctb],
    Zefang Shen [ctb],
    Craig Lobsey [ctb], 
    Alex Wadoux [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 on 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: 7.2.1
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Config/VersionName: Sky